IEEE Trans Pattern Anal Mach Intell - Detailed 3D Representations for Object Recognition and Modeling.

Tópicos

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Resumo

Geometric 3D reasoning at the level of objects has received renewed attention recently, in the context of visual scene understanding. The level of geometric detail, however, is typically limited to qualitative representations or coarse boxes. This is linked to the fact that today’s object class detectors are tuned towards robust 2D matching rather than accurate 3D geometry, encouraged by bounding-box based benchmarks such as Pascal VOC. In this paper, we revisit ideas from the early days of computer vision, namely, detailed, 3D geometric object class representations for recognition. These representations can recover geometrically far more accurate object hypotheses than just bounding boxes, including continuous estimates of object pose, and 3D wireframes with relative 3D positions of object parts. In combination with robust techniques for shape description and inference, we outperform state-of-the-art results in monocular 3D pose estimation. In a series of experiments, we analyze our approach in detail, and demonstrate novel applications enabled by such an object class representation, such as fine-grained categorization of cars and bicycles according to their 3D geometry, and ultra-wide baseline matching.

Resumo Limpo

geometr d reason level object receiv renew attent recent context visual scene understand level geometr detail howev typic limit qualit represent coars box link fact todayamp object class detector tune toward robust d match rather accur d geometri encourag boundingbox base benchmark pascal voc paper revisit idea earli day comput vision name detail d geometr object class represent recognit represent can recov geometr far accur object hypothes just bound box includ continu estim object pose d wirefram relat d posit object part combin robust techniqu shape descript infer outperform stateoftheart result monocular d pose estim seri experi analyz approach detail demonstr novel applic enabl object class represent finegrain categor car bicycl accord d geometri ultrawid baselin match

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