Jinjun Ou

Papers

Total Citations

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About

Jinjun Ou is a researcher in robotics and computer vision, with a primary focus on three-dimensional visual methods for object pose measurement and stereo vision systems. His early work established foundational approaches to determining spatial relationships between objects using 3D visual techniques, addressing the critical challenge of rigid-body pose computation in robotic cooperation. Ou’s most notable contribution is the development of an integrated framework for dense depth map regeneration using an innovative omnidirectional stereo vision sensor designed for mobile robots. This sensor, which captures height information from a full 360-degree field of view, employs improved graph cuts algorithms for stereo matching to produce accurate depth maps. While his citation counts are modest—with his 2007 paper on omnidirectional stereo reaching 6 citations and his 2001 work on 3D pose measurement accumulating 2—these publications represent early efforts in specialized areas of robotic perception. Ou’s research sits at the intersection of sensor design, stereo vision algorithms, and mobile robotics, contributing to the practical challenge of enabling robots to perceive and interact with their three-dimensional environment. His work on omnidirectional sensing remains relevant for researchers exploring novel sensor configurations for autonomous navigation.