منابع مشابه
Recognizing 3d Objects from 2d Images: an Error Analysis Recognizing 3d Objects from 2d Images: an Error Analysis
Many recent object recognition systems use a small number of pairings of data and model features to compute the 3D transformation from a model coordinate frame into the sensor coordinate system. In the case of perfect image data, these systems seem to work well. With uncertain image data, however, the performance of such methods is less well understood. In this paper, we examine the eeects of t...
متن کاملRecognizing 3D objects from 2D images: an error analysis
Many recent object recognition systems use a small number of pairings of data and model features to compute the 3D transformation from a model coordinate frame into the sensor coordinate system. In the case of perfect image data, these systems seem to work well. With uncertain image data, however, the performance of such methods is less well understood. In this paper, we examine the e ects of t...
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This paper presents a simple methods for visualizing, understanding, interpreting, and recognizing 3D objects from 2D images. It extended the linear combination methods , uses parallel pattern matching and can handle 3D rigid concave objects as well convex objects and articulated objects, yet, needs only a very small number of learning samples. Some real images are illustrated, with future rese...
متن کاملModel Based Recognition of 3D Objects From Single 2D Images
ÐIn this work, we treat major problems of object recognition which have received relatively little attention lately. Among them are the loss of depth information in the projection from a 3D object to a single 2D image, and the complexity of finding feature correspondences between images. We use geometric invariants to reduce the complexity of these problems. There are no geometric invariants of...
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ژورنال
عنوان ژورنال: Journal of Computer Science and Cybernetics
سال: 2012
ISSN: 1813-9663,1813-9663
DOI: 10.15625/1813-9663/22/4/1413