7 September 2010 Generating highly realistic 3D animation video with depth-of-field and motion blur effects
Author Affiliations +
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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Karthik Sathyanarayana, Karthik Sathyanarayana, Muralidhara Subbarao, Muralidhara Subbarao, } "Generating highly realistic 3D animation video with depth-of-field and motion blur effects", Proc. SPIE 7798, Applications of Digital Image Processing XXXIII, 779818 (7 September 2010); doi: 10.1117/12.861339; https://doi.org/10.1117/12.861339


Trajectory guided recognition of actions
Proceedings of SPIE (November 08 1999)
A comparison of two- and three-dimensional imaging
Proceedings of SPIE (October 02 2006)

Back to Top