Factorization of view-object manifolds for joint object recognition and pose estimation
نویسندگان
چکیده
منابع مشابه
Factorization of view-object manifolds for joint object recognition and pose estimation
Due to large variations in shape, appearance, and viewing conditions, object recognition is a key precursory challenge in the fields of object manipulation and robotic/AI visual reasoning in general. Recognizing object categories, particular instances of objects and viewpoints/poses of objects are three critical subproblems robots must solve in order to accurately grasp/manipulate objects and r...
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The problem of multi-view/view-invariant recognition remains one of the most fundamental challenges to the progress of the computer vision. In this paper we consider the problem of modeling the combined object-viewpoint manifold. The shape and appearance of an object in a given image is a function of its category, style within category, viewpoint, and several other factors. The visual manifold ...
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Object and scene categorization has been a central topic of computer vision research in recent years. The problem is a highly challenging one. A single object may show tremendous variability in appearance and structure under various photometric and geometric conditions. In addition, members of the same class may differ from each other due to various degrees of intra-class variability. Recently,...
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ژورنال
عنوان ژورنال: Computer Vision and Image Understanding
سال: 2015
ISSN: 1077-3142
DOI: 10.1016/j.cviu.2015.03.014