A Method for Enforcing Integrability in Shape from Shading Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
Generalized Mosaicing: High Dynamic Range in a Wide Field of View
International Journal of Computer Vision
Symmetric Stereo Matching for Occlusion Handling
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Handbook of Image and Video Processing (Communications, Networking and Multimedia)
Handbook of Image and Video Processing (Communications, Networking and Multimedia)
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Video microscopy offers researchers a method to observe small-scale dynamic processes. It is often useful to remove unchanging portions of image sequences to improve the perception and analysis of moving features. We propose two processing methods (a local method and a global method) for detecting and removing partial stationary occlusions from video microscopy data using the bright-field microscope image model. In both techniques, we compute the relative light transmission across the image plane due to fixed, partially-transparent objects. The resulting transmission map enables reconstruction of a video in which the occlusions have been removed. We present experimental results that compare the effectiveness and applicability of our two approaches.