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- In computer vision a camera matrix or projection matrix is a 3 × 4 {\displaystyle 3\times 4} matrix which describes the mapping of a pinhole camera from 3D points in the world to 2D points in an image. Let x {\displaystyle \mathbf {x} } be a representation of a 3D point in homogeneous coordinates, and let y {\displaystyle \mathbf {y} } be a representation of the image of this point in the pinhole camera. Then the following relation holds y ∼ C x {\displaystyle \mathbf {y} \sim.
- Calibration matrix K is expressed in pixel units (focal length and image center) Rotation matrix R is adimensional. Translation vector T is expressed in world coordinates (e.g. millimeters) K,R and T are known so how do i build the 3x4 camera matrix K(R|T)? Is it correct to express K in pixel units and leave T in mm
- The intrinsic matrix is only concerned with the relationship between camera coordinates and image coordinates, so the absolute camera dimensions are irrelevant. Using pixel units for focal length and principal point offset allows us to represent the relative dimensions of the camera, namely, the film's position relative to its size in pixels

focal length in px = 336 principal point x = 640.5 principal point y = 400.5 pixel size = 4.2 µm width = 1280 height = 800. That leads to the following intrinsic matrix: [ 336 0 640.5 0 336 400.5 0 0 1] Now I want to project a point. p = ( 1, 1, 2) (in meter) into two different cameras. Camera 1 has

- What is the meaning of each matrix of the camera matrix decomposition? P = KR[I| C] 3x3 intrinsics 3x3 3D rotation 3x3 identity 3x1 3D translatio
- camMatrix — Camera projection matrix4-by-3 matrix. Camera projection matrix, returned as a 4-by-3 matrix. The matrix contains the 3-D world points in homogenous coordinates that are projected into the image. When you set rotationMatrix and translationVector to double, the function returns camMatrix as double
- Camera matrix: This is the inner orientation of the camera that can be calculated when calibrating the camera. A camera lens may have a fixed focal length of 35 mm but this is often not accurate enough for further calculations so when calibrating with a chessboard you calculate these values more accurate
- Camera parameters • Intrinsic parameters (K matrix) • There are 5 intrinsic parameters • Focal length f • Pixel size in x and y directions, sx and sy • Principal point ox, oy • Usually assume square pixels so sx = sy = s • This makes four intrinsic parameters • Focal length fx = f / sx and fy = f / sy • Principal point ox, o
- Recovering the Camera Parameters We use a calibration target to get points in the scene with known 3D position Step 1: Get at least 6 point measurements Step 2: Recover Perspective Projection Matrix Step 3: From Projection Matrix, recover intrinsic and extrinsic parameter
- Projective camera f = focal length u o, v = offset (note a different convention w.r.t. lecture 2) f yc Units:k,l [pixel/m] f [m] α,β[pixel] Non-square pixels Projective camera f = focal length u o, v o = offset α,β → non-square pixels f f x y xc yc C' = [u o, v] θ Projective camera f = focal length u o, v o = offset αβ →, non-square pixels θ = skew angl
- In the pinhole camera modelthere is only one focal length which is between the principal point and the camera center. However, after calculating the camera's intrinsic parameters, the matrix contains. (fx, 0, offsetx, 0, 0, fy, offsety, 0, 0, 0, 1, 0

* // Projection matrix : 45° Field of View, 4:3 ratio, display range : 0*.1 unit <-> 100 units glm:: mat4 Projection = glm:: perspective (glm:: radians (45.0 f), (float) width / (float) height, 0.1 f, 100.0 f); // Or, for an ortho camera : //glm::mat4 Projection = glm::ortho(-10.0f,10.0f,-10.0f,10.0f,0.0f,100.0f); // In world coordinates // Camera matrix glm:: mat4 View = glm:: lookAt (glm:: vec3 (4, 3, 3), // Camera is at (4,3,3), in World Space glm:: vec3 (0, 0, 0), // and looks at the. The camera intrinsic matrix A is composed of the focal lengths f_x and f_y, which are expressed in pixel units, and the principal point (c_x, c_y), that is usually close to the image center: s \vecthree {u} {v} {1} = \vecthreethree {f_x} {0} {c_x} {0} {f_y} {c_y} {0} {0} {1} \vecthree {X_c} {Y_c} {Z_c}

* When we're talking about camera/view space we're talking about all the vertex coordinates as seen from the camera's perspective as the origin of the scene: the view matrix transforms all the world coordinates into view coordinates that are relative to the camera's position and direction*. To define a camera we need its position in world space, the direction it's looking at, a vector pointing to the right and a vector pointing upwards from the camera. A careful reader may notice that we're. The matrix containing these four parameters is referred to as the camera matrix. While the distortion coefficients are the same regardless of the camera resolutions used, these should be scaled along with the current resolution from the calibrated resolution. The process of determining these two matrices is the calibration. Calculation of these.

The view inverse **matrix** is probably a 3×3 **matrix** (or a 4×4 **matrix** with no translation) that represents a **matrix** that will anti-rotate the particle to face the **camera**. This **matrix** cannot take the translation of the **camera** into consideration because if it did, all of your particles would be placed on the position of the **camera** If you change this matrix, the camera no longer updates its rendering based on its fieldOfView. This lasts until you call ResetProjectionMatrix. Use a custom projection only if you really need a non-standard projection. This property is used by Unity's water rendering to setup an oblique projection matrix. Using custom projections requires good knowledge of transformation and projection matrices

- The distance of the near clipping plane from the the Camera, in world units. nonJitteredProjectionMatrix: Get or set the raw projection matrix with no camera offset (no jittering). opaqueSortMode: Opaque object sorting mode. orthographic: Is the camera orthographic (true) or perspective (false)? orthographicSize: Camera's half-size when in orthographic mode
- A CCTV Matrix System is the easier way to configure mid-sized to large surveillance systems. Ensures users reliable and efficient management of medium to large-scale video security systems. Items 1 to 17 of 25 total. Show
- $\begingroup$ Is that 3x4 matrix you are talking about any different from a 4x4 Blender matrix with the 4th row removed? Some game engines use this kind of optimization to save some memory (CryEngine afaik). The 3x3 part contains rotation and scale information, the 4th column the location and the 4th row is rather unneeded - unless for 2D/3D transformation, because you need to devide by the.
- The camera matrix wouldn't contain any translation element, as (from my understanding) the camera matrix is a projection matrix that converts world space into camera space. If you mean transform matrix, then yeah, using Transform can be simpler, but as Unity defines it a Matrix4x4 has: - row 0, column 0 = x scale - row 1, column 1 = y scal
- A Simple Perspective Matrix. A word of warning again. The matrix we will present in this chapter is different from the projection matrix that is being used in APIs such as OpenGL or Direct3D. Though, it technically produces the same results. In the lesson 3D Viewing: the Pinhole Camera Model we learned how to compute the screen coordinates (left, right, top and bottom) based on the camera near.
- You'd decide how many units you want the camera to show. For example if you want one pixel of canvas to match one unit in the camera you could do something like. To put the origin at the center and have 1 pixel = 1 three.js unit something like. camera.left = -canvas.width / 2; camera.right = canvas.width / 2; camera.top = canvas.height / 2; camera.bottom = -canvas.height / 2; camera.near = -1.
- e the location of the camera in the scene. These tasks are used in applications such as machine vision to detect and measure.

Y ou're looking for a list of the different camera angles in film, but you also want great examples that come with clear explanations of when and why to use specific camera shot angles. Whether you want your characters to seem powerful, vulnerable, or intimate, the power of camera angles cannot be understated. We'll provide you with downloadable shot lists that feature all of the different. Camera Models and Parameters We will discuss camera geometry in more detail. Particularly, we will outline what parameters are important within the model. These parameters are important to several key computer vision tasks and must be computed (calibrated ) using approaches we will discuss in later lectures. Important Definitions • Frame of reference: a measurements are made with respect to.

Watch Video. 2 Mega Pixel IP Dome Camera Matrix Ask Price. Camera Resolution ( Pixel): 2 MP, 0Lux with IR LED on, 3.6mm/6mm Board Lends/F1.2. Digital Noise Reduction: Yes. Field Of View: 90 degrees/56 degrees. Video Compression: H.265/H.264/M-JPEG. Country of Origin: Made in India. Diameter: read more.. Camera Projection Reading: T&V Section 2.4. CSE486, Penn State Robert Collins Imaging Geometry V U W Object of Interest in World Coordinate System (U,V,W) CSE486, Penn State Robert Collins Imaging Geometry Z f Camera Coordinate System (X,Y,Z). • Z is optic axis • Image plane located f units out along optic axis • f is called focal length X Y. CSE486, Penn State Robert Collins Imaging.

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- I am looking to get a Camera component's view matrix in a script. I see that I can get the projection matrix using Camera.projectionMatrix, but I don't see a Camera.viewMatrix property.... I want these matrices in a script for a 3D graphics refresher tutorial that will visualize a camera's view and projection transforms in the form of game objects (representing vertices) that can be moved.
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- First is the obviously unstated unit of angular measurement. Because of this dependency, if the camera turns around, the translation will need updating. But pose.set_rotation_matrix() does not do this. So you should never call set_origin() before set_rotation_matrix(). Only set the origin afterwards. The case where you only want to change the rotation, while keeping the position the same.
- F is the focal length in world units, typically millimeters [sx, sy] are the Camera axes skew, specified as the Projection matrix, stored as the comma-separated pair consisting of 'IntrinsicMatrix' and a 3-by-3 matrix. For the matrix format, the object uses the following format: [f x 0 0 s f y 0 c x c y 1] The coordinates [c x c y] represent the optical center (the principal point), in.
- As we have shown that LP/mm is not a suitable
**unit**for the resolution a digital**camera**can capture, a different**unit**is needed. One very common**unit**is line pairs per pixel or cycles per pixel. In this case we do not have a physical extent in the**unit**, we just describe how many line pairs can be resolved by one pixel. As a line pair is always a black and a white line, the maximum resolution. - camera matrix P). This is a correct approach if • Your image's X/Y axes point in the same direction as your camera's X/Y axes • Your camera looks in the positive-z direction If the z-coordinates of the camera and world are pointing in the opposite direction, things can go wrong e.g. in OpenGL, the camera points in the negative z direction. For the general case some checks must be.
- From world to camera is the extrinsic parameter matrix (4x4) (sometimes 3x4 if using for next step in projection - not worrying about inversion) Translation from world to camera frame . Rotation from world to camera frame . Point in world frame . Point in camera frame . CS 4495 Computer Vision - A. Bobick Calibration and Projective Geometry 1 Now from Camera 3D to Image CS 4495 Computer.
- Camera Size is a free online digital camera comparison tool. This web application was designed to help you compare one camera's size relative to another camera, and view each camera from different sides.The site is being continuously updated with new camera models, so you can compare the size of older cameras with the latest models
- Camera calibration using checkerboard pattern to get the intrinsic matrix, depends on the camera calibration accuracy. What is the effect of checkerboard size on the camera calibration accuracy

A simple Python API for single camera calibration using opencv - Abhijit-2592/camera_calibration_AP

Whether you are a large multi-national or a small local company, Matrix Telematics has made it easy to take advantage of next generation telematics and access fleet intelligence quickly. With a large range of ready-to-g Hi, I saved the pose matrixes returned from TrackMonocular function to a file whenever tracking status was OK. Although the visualization of point cloud and camera path seem correct during the program execution, I noticed that the first saved pose had rotation matrix that wasn't identity and had nonzero translation Intrinsic Calibration Matrix The intrinsic calibration matrix, Min, transforms the 3D image position ~xc (measured in meters, say) to pixel coordinates, p~ = 1 f Min~xc, (5) where Min is a 3×3 matrix. The factor of 1/f here is conventional. For example, a camera with rectangular pixels of size 1/sx by 1/sy, with focal length f, and piercing point (ox,oy) (i.e., the intersection of the optical.

- It is also called camera matrix. It depends on the camera only, so once calculated, it can be stored for future purposes. It is expressed as a 3x3 matrix: Extrinsic parameters corresponds to rotation and translation vectors which translates a coordinates of a 3D point to a coordinate system. For stereo applications, these distortions need to be corrected first. To find all these parameters.
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- Inconsistency in units and conventions is a common source of integration issues for developers and can also lead to software bugs. It can also create unnecessary computation due to data conversion. This REP documents the standard conventions for ROS in order to lessen these issues. Exceptions. The scope of potential robotics software is too broad to require all ROS software to follow the.
- Now normally in my previous opengl applications i'd just setup the yaw and pitch angles and have a sin and cos to change the direction vector using (gluLookAt) but i'd like to be able to do this using GLM and matrices. So at the moment i have my camera set 10 units away from the origin facing that direction. I can see my geometry fine, it.
- Improve your yield potential this season the Matrix 570GS with Camera. All Matrix 570GS units feature a WAAS-enabled GPS antenna, built-in light bar, a USB port for data export and software upgrades, and a RAM® bracket for easy mounting. Waterproof, dustproof cameras include a RAM Mount® and infrared LED lights to improve video quality at night or in low-light situations

When light from an image falls on a camera sensor, it is collected by a matrix of small potential wells called pixels. The image is divided into these small discrete pixels. The information from these photosites is collected, organized, and transferred to a monitor to be displayed. The pixels may be photodiodes or photocapacitors, for example, which generate a charge proportional to the amount. Orthographic projection (sometimes referred to as orthogonal projection, used to be called analemma) is a means of representing three-dimensional objects in two dimensions.It is a form of parallel projection, in which all the projection lines are orthogonal to the projection plane, resulting in every plane of the scene appearing in affine transformation on the viewing surface

Intrinsic parameters (camera model): In matlab, this matrix is stored in the variable KK after calibration. Observe that fc(1) and fc(2) are the focal distance (a unique value in mm) expressed in units of horizontal and vertical pixels. Both components of the vector fc are usually very similar. The ratio fc(2)/fc(1), often called aspect ratio, is different from 1 if the pixel in the CCD. That is, the camera at the origin is looking along -Z axis in eye space, but it is looking along +Z axis in NDC. Since glFrustum() accepts only positive values of near and far distances, we need to negate them during the construction of GL_PROJECTION matrix. In OpenGL, a 3D point in eye space is projected onto the near plane (projection plane). The following diagrams show how a point (x e, y e. The goal of a projection matrix is to remap the values projected onto the image plane to a unit cube (a cube whose minimum and maximum extents are (-1,-1,-1) and (1,1,1) respectively). However, once the point P is projected on the image plane, Ps is visible if its x- and y- coordinates are contained within the range [left, rigtht] for x and [bottom, top] for y. This is illustrated in figure 2. camera coord. trans. matrix (4x4) Perspective projection matrix (3x4) Camera to pixel coord. = trans. matrix (3x3) 2D point (3x1) 3D point (4x1) Weak perspective •Approximation: treat magnification as constant •Assumes scene depth << average distance to camera World points: Image plane . Orthographic projection •Given camera at constant distance from scene •World points projected alon Remember to place the camera transformations on the GL_MODELVIEW matrix and never on the GL_PROJECTION matrix. Think of the projection matrix as describing the attributes of your camera, such as field of view, focal length, fish eye lens, etc. Think of the ModelView matrix as where you stand with the camera and the direction you point it

The reference docs for M5Stack products. Quick start, get the detailed information or instructions such as IDE,UIFLOW,Arduino. The tutorials for M5Burner, Firmware. Fig. 3 Metagrating full-Stokes polarization camera. (A) A matrix metagrating (as in Fig. 2) is integrated with an aspheric lens to image four diffraction orders onto four quadrants of a CMOS imaging sensor. A ray trace of one diffraction order is shown. The camera is designed to image far-away objects, so each color corresponds to different.

A single Cloud TPU chip contains 2 cores, each of which contains multiple matrix units (MXUs) designed to accelerate programs dominated by dense matrix multiplications and convolutions (see Hardware Architecture). Programs that spend a considerable fraction of their execution time performing matrix multiplications are typically well suited to Cloud TPU. A program whose computation is dominated. In addition to the focal length of the camera f, this intrinsic parameter matrix includes m x and m y, the number of pixels per x and y unit of image coordinates, respectively; (p x, p y), the coordinates of the principal point of the image; and s, the skew (deviation from rectangularity) of the pixels.For high-quality cameras, the pixels are usually square, the skew is typically 0, and the. For each camera-IMU unit, 20 images were acquired. After the vanishing points of the parallel grid lines were determined from the images taken from each camera, the rotation matrix of each camera-IMU unit was determined. Note that once the rotation matrix is determined, the relationship of the orientation of camera-IMU unit becomes known and. A wireless security camera with 720p HD video that works with your mobile LTE plan. Perfect for locations, with poor or no WiFi connection. $429.99 Security at its brightest. Learn more about the Arlo Pro 3 Floodlight with 2K video camera. Save on Arlo Bundles. Shop our top-selling security bundles and save up to 20%. Shop Bundles. Add accessories to your setup. Enhance your Arlo home security. If matrix has less than 4 columns or rows, the remaining elements are filled with elements from the identity matrix. See also toGenericMatrix(). QMatrix4x4:: QMatrix4x4 (const QTransform & transform) Constructs a 4x4 matrix from the conventional Qt 2D transformation matrix transform. If transform has a special type (identity, translate, scale, etc), the programmer should follow this.

In this article we are going to use a view matrix that simulates a moving camera, usually named lookAt. It is beyond the purpose of the present article to derive and present the way we create the view matrix, suffice to say that it is a 4x4 matrix, like the model matrix, and it is uniquely determined by 3 parameters: The eye, or the position of the viewer; The center, or the point where we the. From September 4 to 5, 2016, the 11th G20 Summit was held at Hangzhou. TAIDEN provided more than 7000 pieces of conference equipment for discussion. The Boston Consulting Group Matrix (BCG Matrix), also referred to as the product portfolio matrix, is a business planning tool used to evaluate the strategic position of a firm's brand portfolio Brand Equity In marketing, brand equity refers to the value of a brand and is determined by the consumer's perception of the brand. Brand equity can be positive or. The BCG Matrix is one of the.

Estimation of camera intrinsic matrix parameters and its utilization in the extraction of dimensional units Abstract: In this paper the elimination of image distortion and subsequent estimation of intrinsic camera parameters, while extracting the real object dimensions from photographs is presented. Research analysis includes description of the basic concepts related to the camera calibration. Matrix 2MP CIBR20MVL12CWP Motorized Varifocal Bullet Camera are designed to meet varied security requirements of enterprises. Equipped with Sony's EXMOR technology sensor, these cameras provide crystal clear image quality with exceptional low light performance. It comes with True WDR to provide consistent image quality under varying light conditions. These cameras come in both, bullet and.

5000 Series Video Matrix: HFEA-OI5000VM: Drive-Up Tube Systems: Audio Video Communication: 5000 Series Video Matrixes: 99-1061 : Drive-Up Tube Systems: Audio Video Communication: 5002-4 Audio Matrix Detail: 99-1095: Drive-Up Tube Systems: Audio Video Communication: 5002-8 Audio Matrix Detail: 99-1095: Drive-Up Tube Systems: Audio Video Communication: 5004 Audio Matrix Detail: 99-1096: Drive-Up. In the next chapter we'll extensively discuss how to create such a view matrix to simulate a camera. Clip space. At the end of each vertex shader run, OpenGL expects the coordinates to be within a specific range and any coordinate that falls outside this range is clipped. Coordinates that are clipped are discarded, so the remaining coordinates will end up as fragments visible on your screen.

Metering determines how the camera sets exposure. The following options are available: L Matrix: Produces natural results in most situations.Camera meters wide area of the frame and sets exposure according to tone distribution, color, composition, and, with type G, E, or D lenses (0 Compatible Lenses), distance information (3D color matrix metering III; with other CPU lenses, camera uses color. sig type t external create' : unit -> Osg. Camera.t = camera_create external to_node : Osg. Camera.t -> Osg. Node.t = camera_to_node external to_group : Osg. OBM Automation Private Limited - Offering IP Dome Camera - Matrix 3MP CIDR30FL36CWS, Matrix Dome Cam, Matrix CCTV Dome Camera, Matrix का डोम कैमरा at Rs 4800/unit in Mumbai, Maharashtra. Read about company. Get contact details and address| ID: 1864358679

Matrix Switches. Remotes. Thermostat. Fan Speed Controller. Locks. Video Doorbells. Cameras. Security Packages. Sensors. Centralized Lighting Panels. Wired Keypads. Centralized Lighting Modules. T3 Touch Screens. Networking Routers. Networking Access Points . Networking Switches. Triad Speakers. Control4 KNX. Essential Lighting. Back to Whole Home . Find a Dealer. Free Magazine. Smart Home. Compare features and technical specifications for the iPhone 12 Pro, iPhone 12 Pro Max, iPhone 12, iPhone 12 mini, iPhone SE, and many more types of matrix , diagonal matrix ,scalar matrix,unit& identity matrix, triangular matrix,upper triangular &lower triangular matrix,for board&competition pur.. 9th class math, solutions of Unit 1, Ex 1.3, Q#8 symmetric matrix and skew symmetric matrix This is sometimes called the camera position, or the point of view (POV). You can also rotate and translate objects within the 3D geometry, using a similar technique. Rotation and translation are usually accomplished using a pair of matrices, which we will call the Rotation Matrix (R) and the Translation Matrix (T). These matrices are combined to form a Transform Matrix (Tr) by means of a.

I then did a video capture of the checkerboard with the Hololens RGB camera. I ran the opencv camera calibration example, and got the following intrinsic values: 1.7230957099738822e+04 0.0 7.0350000000000000e+02 0.0 1.7230957099738822e+04 3.9550000000000000e+02 0.0 0.0 1.0. I know that these values are in pixels. Looking at the values from the. The solution is so obvious, I must be getting old :( Anyway, the world matrix of the camera is a transformation matrix, not a viewing matrix. To obtain a viewing matrix out of it, you need to invert (transpose) it and zero out the translation part. Explanation: We set all Euler angles of the camera to 0, so the local axes are aligned with the world axes (the identity, non-transformed camera.

Camera - is a subclass of Transform which represents encapsulates the settings of a Camera. type t . osg::Camera holder. val create': unit -> t val to_node: t-> Osg.Node.t val to_group: t-> Osg.Group.t val to_transform: t-> Osg.Transform.t val to_cull_settings: t-> Osg.Cull_settings.t. cast to Osg.Cull_settings - WARNING - it keeps pointer to cull settings, so if camera is garbage collected. PiCamera (camera_num=0, stereo_mode='none', stereo_decimate=False, 'matrix' When set, the property adjusts the camera's metering mode. All modes set up two regions: a center region, and an outer region. The major difference between each mode is the size of the center region. The 'backlit' mode has the largest central region (30% of the width), while 'spot' has the smallest (10% of the. According to your code (distance from camera), the focal length is at mm units? Your focal length result is 543.45. My focal length result is in range of 200 - 800 testing a variety of cameras avaliable. If focal length units are in mm, is there any logical explanation of too much high values? Because from what I know, focal length must be small (3 - 10 mm). I use simple webcameras

CCD-Sensoren sind lichtempfindliche elektronische Bauelemente, die auf dem inneren Photoeffekt beruhen. CCD ist hierbei die Abkürzung des englischen charge-coupled device (dt. ‚ladungsgekoppeltes Bauteil'), das im CCD-Sensor verwendet wird.. Ursprünglich wurden 1969 CCDs für die Datenspeicherung entwickelt. Jedoch wurde schnell bemerkt, dass diese Bauelemente lichtempfindlich sind. In practical implementations, including the one given in the appendices, the up vector need not be a unit vector. Other somewhat artificial variables in the camera model used here are front and back clipping planes, a perspective/oblique projection flag, and a multiplicative zoom factor. The clipping planes are defined as positive distances. With an isometric view, you're able to select your units easily and send them around the map. Imagine trying to command all these units without an overhead perspective. It would be a nightmare. The Problem. The 45-degree rotation of the camera causes a bit of trouble for moving a character around the scene properly Diese Website benutzt Cookies, die für den technischen Betrieb der Website erforderlich sind und stets gesetzt werden. Andere Cookies, die den Komfort bei Benutzung dieser Website erhöhen, der Direktwerbung dienen oder die Interaktion mit anderen Websites und sozialen Netzwerken vereinfachen sollen, werden nur mit Ihrer Zustimmung gesetzt