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Manhattan World: Orientation and Outlier Detection by Bayesian Inference.

, and . Neural Comput., 15 (5): 1063-1088 (2003)

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Anti-blur feedback for visually impaired users of smartphone cameras., and . ASSETS, page 233-234. ACM, (2010)Born Accessible Data Science and Visualization Courses: Challenges of Developing Curriculum to be Taught by Blind Instructors to Blind Students., , , , , and . CoRR, (2024)Convergence Rates of Algorithms for Visual Search: Detecting Visual Contours., and . NIPS, page 641-647. The MIT Press, (1998)Appliance Displays: Accessibility Challenges and Proposed Solutions., , , and . ASSETS, page 405-406. ACM, (2015)Zebra Crossing Spotter: Automatic Population of Spatial Databases for Increased Safety of Blind Travelers., , , and . ASSETS, page 251-258. ACM, (2015)Manhattan World: Compass Direction from a Single Image by Bayesian Inference., and . ICCV, page 941-947. IEEE Computer Society, (1999)AR4VI: AR as an Accessibility Tool for People with Visual Impairments., and . ISMAR Adjunct, page 288-292. IEEE Computer Society, (2017)A Bayesian Algorithm for Reading 1D Barcodes., and . CRV, page 61-67. IEEE Computer Society, (2009)Reading LCD/LED Displays with a Camera Cell Phone., and . CVPR Workshops, page 119. IEEE Computer Society, (2006)High-Level and Generic Models for Visual Search: When Does High Level Knowledge Help?, and . CVPR, page 2631-. IEEE Computer Society, (1999)