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  1. 3 days ago · Demo 1: Pose estimation from coplanar points. Note. Please note that the code to estimate the camera pose from the homography is an example and you should use instead cv::solvePnP if you want to estimate the camera pose for a planar or an arbitrary object.

  2. 4 days ago · In computer graphics, 2D and 3D transformations are essential for manipulating objects and shapes in various ways. One common technique for achieving this is by combining different transformation matrices, such as perspective, rotate, scale, translate, and transform matrices.

  3. 5 days ago · Optical flow is the pattern of apparent motion of image objects between two consecutive frames caused by the movement of object or camera. It is 2D vector field where each vector is a displacement vector showing the movement of points from first frame to second. Consider the image below (Image Courtesy: Wikipedia article on Optical Flow ).

  4. 4 days ago · • Projection: transforms a point in high dimensional space to a lower dimensional space • in 3 ‐ D, the projection maps a 3 ‐ D point onto 2 ‐ D projection plane (image plane). Ref: Introduction to Graphics Communications for Engineers.

  5. 3 days ago · next create a new transparent square layer twice the size of the distance just measured and make sure the centre of this layer is located over your vanishing point. merge this layer with your image layer. open up the multi-replicate script and make sure you uncheck autocrop layer copies and also set stack to below each other. Here is my results ...

  6. 4 days ago · The course covers the basics of going from a scene representation to a raster image using OpenGL. Specific topics include coordinate manipulations, perspective, basics of illumination and shading, color models, texture maps, clipping and basic raster algorithms, fundamentals of scene constructions. CS 31400 is recommended. Typically offered Fall.

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  8. 5 days ago · What’s New This Year? ITCS 3120 - Introduction to Interactive Computer Graphics. Introduction to graphics hardware; raster algorithms; event-based programming; shader programming; anti-aliasing methods; matrix algebra for change of coordinates and 2D geometric transformations; 2D viewing transformation and clipping; 2D curves and 2D splines.