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About

Maojun Zhang is a researcher specializing in computational imaging and omnidirectional vision systems, with a particular focus on catadioptric optics and image reconstruction. His work addresses fundamental challenges in wide-angle imaging, including geometric calibration, defocus deblurring, and efficient panoramic processing for robotic applications. Zhang’s most cited contribution is a 2-point algorithm for 3D reconstruction of horizontal lines from a single omnidirectional image (2010, 11 citations), which offers a streamlined geometric solution for structure-from-motion in panoramic settings. He has also advanced image quality in catadioptric systems through coded aperture techniques, proposing modifications to conventional optics to reduce defocus blur caused by large apertures and mirror curvature (2013, 4 citations; 2012, 2 citations). In earlier work, Zhang developed a fast panorama unrolling algorithm using eight-direction symmetry reuse for cooperative robot vision systems (2007, 4 citations), enabling real-time processing of omnidirectional video. While his citation counts are modest, Zhang’s contributions are notable for their technical specificity and practical relevance to robotics and panoramic imaging, offering elegant algorithmic and optical solutions to persistent problems in wide-field-of-view perception.