A FAST AND EFFECTIVE OCCLUSION DETECTION ALGORITHM
| Autor: | Wee-Soon Ching |
|---|---|
| Rok vydání: | 1995 |
| Předmět: |
Computer science
business.industry Contrast effect ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Process (computing) Image registration Image (mathematics) Vergence (optics) Stereopsis Artificial Intelligence Occlusion Computer vision Computer Vision and Pattern Recognition Artificial intelligence Sensitivity (control systems) business Software |
| Zdroj: | International Journal of Pattern Recognition and Artificial Intelligence. :565-578 |
| ISSN: | 1793-6381 0218-0014 |
| DOI: | 10.1142/s0218001495000535 |
| Popis: | Occlusion detection is an important problem in 3D computer vision which uses multiple views, such as stereo vision. The presence of occlusion complicates the problem of vergence and the subsequent stereo matching in the generation of 3D data. This paper presents an approach which detects the presence of occlusion concurrently during the vergence process. The main limitation of the approach where the maximum correlation coefficient can be very high even when a significant amount of occlusions is present in the stereo images is shown. This paper presents an adaptive method of adjusting the correlation threshold with respect to the contrast-levels of the image being analyzed to alleviate this limitation. The proposed adaptive threshold method ensures that the sensitivity of detecting mismatches is less dependent upon the contrast-levels of the image being analyzed. The computational advantage of the proposed adaptive threshold method over the fixed threshold method is also presented. Experimental results which show the strengths of the proposed adaptive threshold method over the fixed threshold method on real scenes are given. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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