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ACCV
2007
Springer
14 years 1 months ago
Object Detection Combining Recognition and Segmentation
Abstract. We develop an object detection method combining top-down recognition with bottom-up image segmentation. There are two main steps in this method: a hypothesis generation s...
Liming Wang, Jianbo Shi, Gang Song, I-fan Shen
DSMML
2004
Springer
14 years 28 days ago
Object Recognition via Local Patch Labelling
Abstract. In recent years the problem of object recognition has received considerable attention from both the machine learning and computer vision communities. The key challenge of...
Christopher M. Bishop, Ilkay Ulusoy
CVPR
2003
IEEE
14 years 9 months ago
Object-Specific Figure-Ground Segregation
We consider the problem of segmenting an image into foreground and background, with foreground containing solely objects of interest known a priori. We propose an integration mode...
Stella X. Yu, Jianbo Shi
CAIP
2005
Springer
160views Image Analysis» more  CAIP 2005»
14 years 1 months ago
Supervised Texture Detection in Images
This paper presents a technique for texture segmentation in images. Providing a small template of a texture of interest results in the image being segmented into regions with simil...
Branislav Micusík, Allan Hanbury
ACCV
2006
Springer
14 years 1 months ago
Fusion of 3D and Appearance Models for Fast Object Detection and Pose Estimation
Real-time estimation of a camera’s pose relative to an object is still an open problem. The difficulty stems from the need for fast and robust detection of known objects in the s...
Hesam Najafi, Yakup Genc, Nassir Navab