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Reliable Fusion of ToF and Stereo Depth Driven by Confidence Measures., , and . ECCV (7), volume 9911 of Lecture Notes in Computer Science, page 386-401. Springer, (2016)Near real-time Fast Bilateral Stereo on the GPU., , and . CVPR Workshops, page 136-143. IEEE Computer Society, (2011)A sufficient condition based on the Cauchy-Schwarz inequality for efficient template matching., and . ICIP (1), page 269-272. IEEE, (2003)Accurate and Efficient Cost Aggregation Strategy for Stereo Correspondence Based on Approximated Joint Bilateral Filtering., , and . ACCV (2), volume 5995 of Lecture Notes in Computer Science, page 371-380. Springer, (2009)Fast Stereo Matching for the VIDET System using a General Purpose Processor with Multimedia Extensions., and . CAMP, page 356-. IEEE Computer Society, (2000)Template Matching Based on the L_p Norm Using Sufficient Conditions with Incremental Approximations., , and . AVSS, page 20. IEEE Computer Society, (2006)Learning from scratch a confidence measure., and . BMVC, BMVA Press, (2016)Depth on Demand: Streaming Dense Depth from a Low Frame Rate Active Sensor., , , and . ECCV (61), volume 15119 of Lecture Notes in Computer Science, page 283-302. Springer, (2024)Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail., , , and . CoRR, (2024)A wearable mobility aid for the visually impaired based on embedded 3D vision and deep learning., and . ISCC, page 208-213. IEEE Computer Society, (2016)