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» Cascade Object Detection with Deformable Part Models
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CVPR
2007
IEEE
15 years 11 months ago
Composite Models of Objects and Scenes for Category Recognition
This paper presents a method of learning and recognizing generic object categories using part-based spatial models. The models are multiscale, with a scene component that specifie...
David J. Crandall, Daniel P. Huttenlocher
CVPR
2011
IEEE
14 years 6 months ago
Finding the Weakest Link in Person Detectors
Detecting people remains a popular and challenging problem in computer vision. In this paper, we analyze parts-based models for person detection to determine which components of t...
Devi Parikh, Larry Zitnick
CVPR
2003
IEEE
15 years 11 months ago
The Optimal Distance Measure for Object Detection
We develop a multi-class object detection framework whose core component is a nearest neighbor search over object part classes. The performance of the overall system is critically...
Shyjan Mahamud, Martial Hebert
ICAT
2006
IEEE
15 years 3 months ago
Real-Time Virtual Surgery Simulation Employing MM-Model and Adaptive Spatial Hash
Abstract. In this paper, MM-Model is presented for real-time simulation of 3D deformable objects on both global level and local region. This model consists of a deformable centerli...
Shaoting Zhang, Lixu Gu, Weiming Liang, Jingsi Zha...
ICASSP
2011
IEEE
14 years 1 months ago
A visual attention model combining top-down and bottom-up mechanisms for salient object detection
Selective attention in the human visual system is performed as the way that humans focus on the most important parts when observing a visual scene. Many bottom-up computational mo...
Yuming Fang, Weisi Lin, Chiew Tong Lau, Bu-Sung Le...