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» Novel image feature alphabets for object recognition
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ACCV
2009
Springer
15 years 15 days ago
Image Classification Using Probability Higher-Order Local Auto-Correlations
Abstract. In this paper, we propose a novel method for generic object recognition by using higher-order local auto-correlations on probability images. The proposed method is an ext...
Tetsu Matsukawa, Takio Kurita
TITS
2010
118views Education» more  TITS 2010»
14 years 4 months ago
Vision-Based Infotainment User Determination by Hand Recognition for Driver Assistance
We present a novel real-time computer-vision system that robustly discriminates which of the front-row seat occupants is accessing the infotainment controls. The knowledge of who i...
Shinko Y. Cheng, Mohan M. Trivedi
ISVC
2010
Springer
14 years 8 months ago
Object Category Classification Using Occluding Contours
Abstract. Occluding contour (OC) plays important roles in many computer vision tasks. The study of using OC for visual inference tasks is however limited, partially due to the lack...
Jin Sun, Christopher Thorpe, Nianhua Xie, Jingyi Y...
CRV
2011
IEEE
337views Robotics» more  CRV 2011»
13 years 9 months ago
Object Detection Using Principal Contour Fragments
Abstract—Contour features play an important role in object recognition. Psychological experiments have shown that maximum-curvature points are most distinctive along a contour [6...
Changhai Xu, Benjamin Kuipers
CVPR
2004
IEEE
16 years 2 days ago
A Model for Dynamic Shape and Its Applications
Variation in object shape is an important visual cue for deformable object recognition and classification. In this paper, we present an approach to model gradual changes in the ?-...
Che-Bin Liu, Narendra Ahuja