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检索条件"任意字段=2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2013"
4491 条 记 录,以下是71-80 订阅
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Ground Truth Evaluation for Event-Based Silicon Retina Stereo Data
Ground Truth Evaluation for Event-Based Silicon Retina Stere...
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26th ieee conference on computer vision and pattern recognition (CVPR)
作者: Kogler, Juergen Eibensteiner, Florian Humenberger, Martin Gelautz, Margrit Scharinger, Josef AIT Austrian Inst Technol GmbH Donau City Str 1 A-1220 Vienna Austria Upper Austria Univ Appl Sci A-4232 Hagenberg Austria Vienna Univ Technol A-1040 Vienna Austria Johannes Kepler Univ Linz A-4040 Linz Austria
In this paper we present a new approach for the evaluation of event-based Silicon Retina stereo matching results. The evaluation of stereo matching algorithm results is a necessary task for the development, comparison... 详细信息
来源: 评论
Fast Target recognition on Mobile Devices: Revisiting Gaussian Elimination for the the Estimation of Planar Homographies
Fast Target Recognition on Mobile Devices: Revisiting Gaussi...
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27th ieee conference on computer vision and pattern recognition (CVPR)
作者: Bilaniuk, Olexa Bazargani, Hamid Laganiere, Robert Univ Ottawa Sch EECS Ottawa ON K1N 6N5 Canada
This work analyzes the problem of homography estimation for robust target matching in the context of real-time mobile vision. We present a device-friendly implementation of the Gaussian Elimination algorithm and show ... 详细信息
来源: 评论
A multi-sensor traffic scene dataset with omnidirectional video
A multi-sensor traffic scene dataset with omnidirectional vi...
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26th ieee conference on computer vision and pattern recognition (CVPR)
作者: Koschorrek, Philipp Piccini, Tommaso Oberg, Per Felsberg, Michael Nielsen, Lars Mester, Rudolf Linkoping Univ Dept Elect Engn Comp Vis Lab S-58183 Linkoping Sweden Linkoping Univ Dept Elect Engn Vehicular Syst Linkoping 58183 Sweden
The development of vehicles that perceive their environment, in particular those using computer vision, indispensably requires large databases of sensor recordings obtained from real cars driven in realistic traffic s... 详细信息
来源: 评论
Bio-inspired Dynamic 3D Discriminative Skeletal Features for Human Action recognition
Bio-inspired Dynamic 3D Discriminative Skeletal Features for...
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26th ieee conference on computer vision and pattern recognition (CVPR)
作者: Chaudhry, Rizwan Ofli, Ferda Kurillo, Gregorij Bajcsy, Ruzena Vidal, Rene Johns Hopkins Univ Ctr Imaging Sci Baltimore MD 21218 USA Univ Calif Berkeley Tele Immers Lah Berkeley CA 94720 USA
Over the last few years, with the immense popularity of the Kinect, there has been renewed interest in developing methods for human gesture and action recognition from 3D data. A number of approaches have been propose... 详细信息
来源: 评论
Recognising Team Activities from Noisy Data
Recognising Team Activities from Noisy Data
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26th ieee conference on computer vision and pattern recognition (CVPR)
作者: Bialkowski, Alina Lucey, Patrick Carr, Peter Denman, Simon Matthews, Iain Sridharan, Sridha Disney Res Pittburgh PA 94565 USA Queensland Univ Technol Image & Video Lab Brisbane Qld 4072 Australia
Recently, vision-based systems have been deployed in professional sports to track the ball and players to enhance analysis of matches. Due to their unobtrusive nature, vision-based approaches are preferred to wearable... 详细信息
来源: 评论
Local Sparse Discriminant Analysis For Robust Face recognition
Local Sparse Discriminant Analysis For Robust Face Recogniti...
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26th ieee conference on computer vision and pattern recognition (CVPR)
作者: Kang, Cuicui Liao, Shengcai Xiang, Shiming Pan, Chunhong Chinese Acad Sci Inst Automat Beijing 100864 Peoples R China
The Linear Discriminant Analysis (LDA) algorithm plays an important role in pattern recognition. A common practice is that LDA and many of its variants generally learn dense bases, which are not robust to local image ... 详细信息
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I Find Your Lack of Uncertainty in computer vision Disturbing
I Find Your Lack of Uncertainty in Computer Vision Disturbin...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Valdenegro-Toro, Matias German Res Ctr Artificial Intelligence Robert Hooke Str 1 D-28359 Bremen Germany
Neural networks are used for many real world applications, but often they have problems estimating their own confidence. This is particularly problematic for computer vision applications aimed at making high stakes de... 详细信息
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Affective Gaming: A Comprehensive Survey
Affective Gaming: A Comprehensive Survey
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26th ieee conference on computer vision and pattern recognition (CVPR)
作者: Kotsia, Irene Zafeiriou, Stefanos Fotopoulos, Spiros Queen Mary Univ London Sch Elect Engn & Comp Sci London England Univ London Imperial Coll Sci Technol & Med Dept Comp London SW7 2AZ England Univ Patras Dept Phys Elect Lab GR-26110 Patras Greece
A typical gaming scenario involves a player interacting with a game by a specialized input device, such as a joystic, a mouse, a keyboard etc. Recent technological advances have enabled the introduction of more elabor... 详细信息
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Delta Sampling R-BERT for limited data and low-light action recognition
Delta Sampling R-BERT for limited data and low-light action ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Hira, Sanchit Das, Ritwik Modi, Abhinav Pakhomov, Daniil Johns Hopkins Univ Baltimore MD 21218 USA
We present an approach to perform supervised action recognition in the dark. In this work, we present our results on the ARID dataset[60]. Most previous works only evaluate performance on large, well illuminated datas... 详细信息
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Rotated Rectangles for Symbolized Building Footprint Extraction  31
Rotated Rectangles for Symbolized Building Footprint Extract...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Dickenson, Matt Gueguen, Lionel UBER Technol Inc San Francisco CA 94103 USA
Building footprints (BFP) provide useful visual context for users of digital maps when navigating in space. This paper proposes a method for extracting and symbolizing building footprints from satellite imagery using ... 详细信息
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