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检索条件"机构=Computer Vision and Robotics Research lab"
59 条 记 录,以下是41-50 订阅
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Joint angles similarities and HOG2 for action recognition
Joint angles similarities and HOG2 for action recognition
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2013 IEEE Conference on computer vision and Pattern Recognition Workshops, CVPRW 2013
作者: Ohn-Bar, Eshed Trivedi, Mohan M. Computer Vision and Robotics Research Lab University of California San Diego CA 92093-0434 United States
We propose a set of features derived from skeleton tracking of the human body and depth maps for the purpose of action recognition. The descriptors proposed are easy to implement, produce relatively small-sized featur... 详细信息
来源: 评论
The Power is in Your Hands: 3D Analysis of Hand Gestures in Naturalistic Video
The Power is in Your Hands: 3D Analysis of Hand Gestures in ...
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IEEE Conference on computer vision and Pattern Recognition Workshops
作者: Eshed Ohn-Bar Mohan M. Trivedi Computer Vision and Robotics Research Lab University of California
We study natural human activity under difficult settings of cluttered background, volatile illumination, and frequent occlusion. To that end, a two-stage method for hand and hand-object interaction detection is develo... 详细信息
来源: 评论
Radiometric calibration by transform invariant low-rank structure
Radiometric calibration by transform invariant low-rank stru...
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作者: Lee, Joon-Young Shi, Boxin Matsushita, Yasuyuki Kweon, In-So Ikeuchi, Katsushi Robotics and Computer Vision Lab KAIST Korea Republic of University of Tokyo Japan Microsoft Research Asia China
We present a robust radiometric calibration method that capitalizes on the transform invariant low-rank structure of sensor irradiances recorded from a static scene with different exposure times. We formulate the radi... 详细信息
来源: 评论
Retinal vessel tortuosity evaluation via circular hough transform
Retinal vessel tortuosity evaluation via circular hough tran...
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2011 18th Iranian Conference of Biomedical Engineering, ICBME 2011
作者: Ghadiri, Farnoosh Pourreza, Hamidreza Banaee, Touka Delgir, Morteza Computer Engineering Department Machine Vision Lab Ferdowsi University Mashhad Iran Ophthalmic Research Center Khatam-Al-Anbia Hospital Medical Science University Mashhad Iran Computer Science Department Robotics Lab Northeastern University United States
Retinal vessel tortuosity has shown to be significantly associated with cardiovascular diseases such as hypertension and diabetes. Despite importance of this field a few techniques have been proposed yet. All previous... 详细信息
来源: 评论
Radiometric Calibration by Transform Invariant Low-rank Structure
Radiometric Calibration by Transform Invariant Low-rank Stru...
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IEEE Conference on computer vision and Pattern Recognition
作者: Joon-Young Lee Boxin Shi Yasuyuki Matsushita In-So Kweon Katsushi Ikeuchi Robotics and Computer Vision Lab KAIST The University of Tokyo Microsoft Research Asia
We present a robust radiometric calibration method that capitalizes on the transform invariant low-rank structure of sensor irradiances recorded from a static scene with different exposure times. We formulate the radi... 详细信息
来源: 评论
Attention estimation by simultaneous observation of viewer and view
Attention estimation by simultaneous observation of viewer a...
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2010 IEEE computer Society Conference on computer vision and Pattern Recognition - Workshops, CVPRW 2010
作者: Doshi, Anup Trivedi, Mohan M. Computer Vision and Robotics Research Lab University of California San Diego CA 92093-0434 United States
We introduce a new approach to analyzing the attentive state of a human subject, given cameras focused on the subject and their environment. In particular, the task of analyzing the focus of attention of a human drive... 详细信息
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Pushing the envelope of modern methods for bundle adjustment
Pushing the envelope of modern methods for bundle adjustment
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Conference on computer vision and Pattern Recognition (CVPR)
作者: Yekeun Jeong David Nister Drew Steedly Richard Szeliski In-So Kweon Robotics and Computer Vision Lab. KAIST Microsoft Research South Korea Robotics and Computer Vision Lab. KAIST Microsoft Research Robotics and Computer Vision Lab. KAIST Microsoft Research USA
In this paper, we present results and experiments with several methods for bundle adjustment, producing the fastest bundle adjuster ever published. The fastest methods work with the well known reduced camera system an... 详细信息
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Attention estimation by simultaneous observation of viewer and view
Attention estimation by simultaneous observation of viewer a...
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IEEE computer Society Conference on computer vision and Pattern Recognition Workshops (CVPRW)
作者: Anup Doshi Mohan M. Trivedi Computer Vision and Robotics Research Lab University of California San Diego La Jolla CA USA
We introduce a new approach to analyzing the attentive state of a human subject, given cameras focused on the subject and their environment. In particular, the task of analyzing the focus of attention of a human drive... 详细信息
来源: 评论
MULTI-CAMERA POSITIONING FOR AUTOMATED TRACKING SYSTEMS IN DYNAMIC ENVIRONMENTS
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International Journal of Information Acquisition 2010年 第3期7卷 225-242页
作者: YI YAO CHUNG-HAO CHEN BESMA ABIDI DAVID PAGE ANDREAS KOSCHAN MONGI ABIDI Visualization and Computer Vision Lab GE Global Research USA Department of Mathematics and Computer Science North Carolina Central University USA Imaging Robotics and Intelligent Systems Lab University of Tennessee Knoxville USA
Most existing camera placement algorithms focus on coverage and/or visibility analysis, which ensures that the object of interest is visible in the camera's field of view (FOV). According to recent literature, han... 详细信息
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Mobile robot localization using panoramic vision and combinations of feature region detectors
Mobile robot localization using panoramic vision and combina...
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IEEE International Conference on robotics and Automation (ICRA)
作者: Arnau Ramisa Adriana Tapus Ramon Lopez de Mantaras Ricardo Toledo Artificial Intelligence Research Institute Spain Robotics Research Lab Interaction Lab Department of Computer Science University of Southern California Los Angeles USA UAB Campus Computer Vision Center Spain
This paper presents a vision-based approach for mobile robot localization. The environmental model is topological. The new approach uses a constellation of different types of affine covariant regions to characterize a... 详细信息
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