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检索条件"任意字段=1994 IEEE Computer-Society Conference on Computer Vision and Pattern Recognition"
22906 条 记 录,以下是241-250 订阅
排序:
MUSE: Robust surface fitting using unbiased scale estimates
MUSE: Robust surface fitting using unbiased scale estimates
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1966 ieee computer society conference on computer vision and pattern recognition
作者: Miller, JV Stewart, CV RENSSELAER POLYTECH INST TROYNY 12180
Despite many successful applications of robust statistics, they have yet to be completely adapted to many computer vision problems. Range reconstruction, particularly in unstructured environments, requires a robust es... 详细信息
来源: 评论
Detection and tracking of shopping groups in stores
Detection and tracking of shopping groups in stores
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conference on computer vision and pattern recognition
作者: Haritaoglu, I Flickner, M IBM Corp Almaden Res Ctr San Jose CA 95120 USA
We describe a monocular real-time computer vision system that identifies shopping groups by detecting and tracking multiple people as they wait in a checkout line or service counter. Our system segments each frame int... 详细信息
来源: 评论
A Mobile vision System for Fast and Accurate Ellipse Detection
A Mobile Vision System for Fast and Accurate Ellipse Detecti...
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26th ieee conference on computer vision and pattern recognition (CVPR)
作者: Fornaciari, Michele Cucchiara, Rita Prati, Andrea Univ Modena & Reggio Emilia Via Vignolese 905 Modena Italy Univ IUAV Venice I-1957 Venice Italy
Several papers addressed ellipse detection as a first step for several computer vision applications, but most of the proposed solutions are too slow to be applied in real time on large images or with limited hardware ... 详细信息
来源: 评论
Attention control for robot vision
Attention control for robot vision
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1966 ieee computer society conference on computer vision and pattern recognition
作者: Westin, CF Westelius, CJ Knutsson, H Granlund, G LINKOPING UNIV DEPT ELECT ENGNCOMP VIS LABS-58183 LINKOPINGSWEDEN
Focus of attention mechanisms for robot vision are discussed. A new method for neglecting low level filter responses from already modelled structures is presented. The method is based on a filtering technique termed n... 详细信息
来源: 评论
Embedded Contours Extraction for High-Speed Scene Dynamics Based on a Neuromorphic Temporal Contrast vision Sensor
Embedded Contours Extraction for High-Speed Scene Dynamics B...
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ieee conference on computer vision and pattern recognition
作者: Belbachir, A. N. Hofstaetter, M. Milosevic, N. Schoen, P. Austrian Res Ctr GmbH ARC Smart Syst Div A-1220 Vienna Austria
The paper presents a compact vision system for efficient contours extraction in high-speed applications. By exploiting the ultra high temporal resolution and the sparse representation of the sensors data in reacting t... 详细信息
来源: 评论
MEDIUM LEVEL SCENE REPRESENTATION USING A VLSI SMART HEXAGONAL SENSOR WITH MULTIRESOLUTION EDGE EXTRACTION CAPABILITY AND SCALE-SPACE INTEGRATION PROCESSING
MEDIUM LEVEL SCENE REPRESENTATION USING A VLSI SMART HEXAGON...
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1994 ieee computer-society conference on computer vision and pattern recognition
作者: TREMBLAY, M SAVARD, M POUSSART, D UNIV LAVAL DEPT ELECT ENGNCOMP VISION & DIGITAL SYST LABQUEBEC CITY G1K 7P4QUEBECCANADA
This paper presents a sensing approach where phototransduction, multi-resolution feature extraction, scale-space integration and edge tracking are performed on a mixed (digital-analog) VLSI architecture in order to ge... 详细信息
来源: 评论
Diagnosing Rarity in Human-object Interaction Detection
Diagnosing Rarity in Human-object Interaction Detection
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Kilickaya, Mert Smeulders, Arnold QUvA Deep Vis Lab Amsterdam Netherlands
Human-object interaction (HOI) detection is a core task in computer vision. The goal is to localize all human-object pairs and recognize their interactions. An interaction defined by a tuple leads to a long-tailed vi... 详细信息
来源: 评论
Target detection in foveal ATR systems
Target detection in foveal ATR systems
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1966 ieee computer society conference on computer vision and pattern recognition
作者: Ghosal, S McKee, DC AMHERST SYST INC MACHINE VIS DEPTBUFFALONY 14221
Automatic target recognition (ATR) applications require simultaneously a wide field of view (FOV) for better detection and situation awareness, high resolution for target recognition and threat assessment, and high fr... 详细信息
来源: 评论
A Stream Algebra for computer vision Pipelines
A Stream Algebra for Computer Vision Pipelines
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27th ieee conference on computer vision and pattern recognition (CVPR)
作者: Helala, Mohamed A. Pu, Ken Q. Qureshi, Faisal Z. Univ Ontario Inst Technol Fac Sci Oshawa ON Canada
Recent interest in developing online computer vision algorithms is spurred in part by a growth of applications capable of generating large volumes of images and videos. These applications are rich sources of images an... 详细信息
来源: 评论
Learning bilinear models for two-factor problems in vision
Learning bilinear models for two-factor problems in vision
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1997 ieee computer society conference on computer vision and pattern recognition (CVPR 97)
作者: Freeman, WT Tenenbaum, JB MERL Cambridge United States
In many vision problems, we want to infer two (or more) hidden factors which interact to produce our observations. We may want to disentangle illuminant and object colors in color constancy;rendering conditions from s... 详细信息
来源: 评论