Generating highly realistic 3D animation video with depth-of-field and motion blur effects

A computationally efficient algorithm is described for generating shift-variant defocus and motion blur effects for animation video. This algorithm precisely models rigid body motion of 3-D objects which includes arbitrary translational and rotational motion. Camera parameters such as aperture diameter, focal length, and the location of image detector are used to calculate the blur circle radius of point spread functions (PSFs) modeled by Gaussian and Cylindrical functions. In addition, a novel and simple method similar to image inpainting is described for filling missing pixels that arise due to object motion, round-off errors, interpolation or changes in magnification. Performance of the algorithms are demonstrated on a set of 3D shapes such as sphere, cylinder, cone, etc. The software tool developed in this research is also useful in computer vision and image processing research. It can be used for simulating test data with known ground truth in the testing and evaluation of depth-from-defocus and image/video de-blurring algorithms.