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http://hdl.handle.net/1942/18339
Title: | Real-time Local Stereo Matching using Edge Sensitive Adaptive Windows | Authors: | DUMONT, Maarten GOORTS, Patrik MAESEN, Steven BEKAERT, Philippe LAFRUIT, Gauthier |
Issue Date: | 2014 | Source: | Proceedings of the 11th International Conference on Signal Processing and Multimedia Applications (SIGMAP 2014), p. 117-126 | Abstract: | This paper presents a novel aggregation window method for stereo matching, by combining the disparity hypothesis costs of multiple pixels in a local region more efficiently for increased hypothesis confidence. We propose two adaptive windows per pixel region, one following the horizontal edges in the image, the other the vertical edges. Their combination defines the final aggregation window shape that rigorously follows all object edges, yielding better disparity estimations with at least 0.5 dB gain over similar methods in literature, especially around occluded areas. Also, a qualitative improvement is observed with smooth disparity maps, respecting sharp object edges. Finally, these shape-adaptive aggregation windows are represented by a single quadruple per pixel, thus supporting an efficient GPU implementation with negligible overhead. | Keywords: | stereo matching; adaptive aggregation windows; real-time, depth estimation | Document URI: | http://hdl.handle.net/1942/18339 | ISBN: | 9789898565969 | ISI #: | 000411790800020 | Category: | C1 | Type: | Proceedings Paper | Validations: | ecoom 2019 vabb 2018 |
Appears in Collections: | Research publications |
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File | Description | Size | Format | |
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mdumont-sigmap14.pdf | 912.46 kB | Adobe PDF | View/Open |
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