A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Visual reconstruction
Neural networks and natural intelligence
Neural networks and natural intelligence
Computer Vision, Graphics, and Image Processing
Surface descriptions from stereo and shading
Shape from shading
Obtaining shape from shading information
Shape from shading
Shape from shading as a partially well-constrained problem
CVGIP: Image Understanding
Matching Two Perspective Views
IEEE Transactions on Pattern Analysis and Machine Intelligence
Algorithms for Graphics and Imag
Algorithms for Graphics and Imag
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Game-Theoretic Approach to Integration of Modules
IEEE Transactions on Pattern Analysis and Machine Intelligence
Towards Real-Time Cue Integration by Using Partial Results
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Belief Propagation for Depth Cue Fusion in Minimally Invasive Surgery
MICCAI '08 Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II
Virtual environment modeling by integrated optical and acoustic sensing
3DIM'99 Proceedings of the 2nd international conference on 3-D digital imaging and modeling
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It is generally agreed that individual visual cues are fallible and often ambiguous. This has generated a lot of interest in design of integrated vision systems which are expected to give a reliable performance in practical situations. The design of such systems is challenging since each vision module works under a different and possibly conflicting set of assumptions. We have proposed and implemented a multiresolution system which integrates perceptual organization (grouping), segmentation, stereo, shape from shading, and line labeling modules. We demonstrate the efficacy of our approach using images of several different realistic scenes. The output of the integrated system is shown to be insensitive to the constraints imposed by the individual modules. The numerical accuracy of the recovered depth is assessed in case of synthetically generated data. Finally, we have qualitatively evaluated our approach by reconstructing geons from the depth data obtained from the integrated system. These results indicate that integrated vision systems are likely to produce better reconstruction of the input scene than the individual modules.