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检索条件"任意字段=2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2003"
6678 条 记 录,以下是121-130 订阅
排序:
Pedestrian detection using wavelet templates
Pedestrian detection using wavelet templates
收藏 引用
1997 ieee computer society conference on computer vision and pattern recognition (cvpr 97)
作者: Oren, M Papageorgiou, C Sinha, P Osuna, E Poggio, T MIT Cambridge United States
This paper presents a trainable object detection architecture that is applied to detecting people in static images of cluttered scenes. This problem poses several challenges. People are highly non-rigid objects with a... 详细信息
来源: 评论
Object recognition in 3D Lidar Data with Recurrent Neural Network
Object Recognition in 3D Lidar Data with Recurrent Neural Ne...
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ieee-computer-society conference on computer vision and pattern recognition Workshops
作者: Prokhorov, Danil V. TEMA TTC Toyota Res Inst NA Ann Arbor MI 48105 USA
This paper introduces a new method for object recognition which is based on a recurrent neural network trained in a supervised mode. The RNN inputs 3-dimensional laser scanner data sequentially, in a natural temporal ... 详细信息
来源: 评论
Modeling clutter and context for target detection in infrared images
Modeling clutter and context for target detection in infrare...
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1966 ieee computer society conference on computer vision and pattern recognition
作者: Rong, S Bhanu, B UNIV CALIF RIVERSIDE COLL ENGNRIVERSIDECA 92521
In order to reduce false alarms and to improve the target detection performance of an automatic target detection and recognition system operating in a cluttered environment, it is important to develop the models not o... 详细信息
来源: 评论
Combining greyvalue invariants with local constraints for object recognition
Combining greyvalue invariants with local constraints for ob...
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1966 ieee computer society conference on computer vision and pattern recognition
作者: Schmid, C Mohr, R GRAVIR F-38330 MONTBONNOT S MARTFRANCE
This paper addresses the problem of recognizing objects in large image databases. The method is based on local characteristics which are invariant to similarity transformations in the image. These characteristics are ... 详细信息
来源: 评论
Bayesian face recognition using deformable intensity surfaces
Bayesian face recognition using deformable intensity surface...
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1966 ieee computer society conference on computer vision and pattern recognition
作者: Moghaddam, B Nastar, C Pentland, A MIT MEDIA LABCAMBRIDGEMA 02139
We describe a novel technique for face recognition based on deformable intensity surfaces which incorporates both the shape and texture components of the 2D image. The intensity surface of the facial image is modeled ... 详细信息
来源: 评论
recognition via consensus of local moments of brightness and orientation
Recognition via consensus of local moments of brightness and...
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1966 ieee computer society conference on computer vision and pattern recognition
作者: Burns, JB TELEOS RES MT VIEWCA 94040
This study combines two useful methods in recognition: consensus or voting-based approaches and moment-based representations. Matches between image patches are generated using a Gaussian-weighted moment encoding of th... 详细信息
来源: 评论
Texture features and learning similarity
Texture features and learning similarity
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1966 ieee computer society conference on computer vision and pattern recognition
作者: Ma, WY Manjunath, BS UNIV CALIF SANTA BARBARA DEPT ELECT & COMP ENGNSANTA BARBARACA 93106
This paper addresses two important issues related to texture pattern retrieval: feature extraction and similarity search. A Gabor feature representation for textured images is proposed, and its performance in pattern ... 详细信息
来源: 评论
Facial expression recognition and its degree estimation
Facial expression recognition and its degree estimation
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1997 ieee computer society conference on computer vision and pattern recognition (cvpr 97)
作者: Kimura, S Yachida, M Lab of Image Information Science and Technology Osaka Japan
The purpose of this study is not only to recognize some kind of facial expressions which is associated with human emotion but also to estimate its degree. Our method is based on the idea that facial expression recogni... 详细信息
来源: 评论
Multi-scale classification of 3-D objects
Multi-scale classification of 3-D objects
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1997 ieee computer society conference on computer vision and pattern recognition (cvpr 97)
作者: Zhang, DM Hebert, M Carnegie Mellon Univ Pittsburgh United States
We describe an approach to the classification of 3-D objects using a multi-scale representation. This approach starts with a smoothing algorithm for representing objects at different scales. Smoothing is applied in cu... 详细信息
来源: 评论
Experimental performance evaluation of feature grouping modules
Experimental performance evaluation of feature grouping modu...
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1997 ieee computer society conference on computer vision and pattern recognition (cvpr 97)
作者: Borra, S Sarkar, S Univ of South Florida Tampa United States
We present five performance measures to evaluate grouping modules in the context of constrained search and indexing based object recognition. Using these measures, we demonstrate a sound experimental framework based o... 详细信息
来源: 评论