منابع مشابه
Recognition by Functional Parts
We present an approach to function-based object recognition that reasons about the functional-ity of an object's intuitive parts. We extend the popular \recognition by parts" shape recognition framework to support \recognition by functional parts", by combining a set of functional primitives and their relations with a set of abstract volumetric shape primitives and their relations. Previous app...
متن کاملRecognition by functional parts [function-based object recognition]
We present an approach to function-based object recognition that reasons about the functionality of an object’s intuitive parts. We extend the popular “recognition b y parts” shape recognition framework to support “recognition by functional parts”, b y combining a set of functional primitives and their relations with a sel of abstract volumetric shape primitives and their relations. Previous ap...
متن کاملObject Classification by Functional Parts
| Object classi cation needs to address not only the changes resulting from various viewpoints but also the di erent shapes that can be classi ed into the same category. We present a new framework and its implementation for generic object classi cation from raw range images, combining structural and functional concepts. The framework addresses low and mid level problems for the decomposition of...
متن کامل2 Parts of Recognition*
We propose that, for the task of object recognition, the visual system decomposes shapes into parts, that it does so using a rule defining part boundaries rather than part shapes, that the rule exploits a uniformity of nature-transver-sal@, and that parts with their descriptions and spatial relations provide a first index into a memory of shapes. This rule allows an explanation of several visua...
متن کاملAttribute Recognition from Adaptive Parts
Previous part-based attribute recognition approaches perform part detection and attribute recognition in separate steps. The parts are not optimized for attribute recognition and therefore could be sub-optimal. We present an end-to-end deep learning approach to overcome the limitation. It generates object parts from key points and perform attribute recognition accordingly, allowing adaptive spa...
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ژورنال
عنوان ژورنال: Computer Vision and Image Understanding
سال: 1995
ISSN: 1077-3142
DOI: 10.1006/cviu.1995.1048