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» Object Detection Combining Recognition and Segmentation
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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
CIVR
2007
Springer
173views Image Analysis» more  CIVR 2007»
14 years 1 months ago
Fast and cheap object recognition by linear combination of views
In this paper, we present a real-time algorithm for 3D object detection in images. Our method relies on the Ullman and Basri [13] theory which claims that the same object under di...
Jérome Revaud, Guillaume Lavoué, Yas...
CLOR
2006
13 years 8 months ago
An Implicit Shape Model for Combined Object Categorization and Segmentation
We present a method for object categorization in real-world scenes. Following a common consensus in the field, we do not assume that a figure-ground segmentation is available prior...
Bastian Leibe, Ales Leonardis, Bernt Schiele
3DPVT
2004
IEEE
13 years 10 months ago
Recognition of Object Contours from Stereo Images: An Edge Combination Approach
In this paper, we present an algorithm to combine edge information from stereo-derived depth maps with edges from the original intensity/color image to improve the contour detecti...
Margrit Gelautz, Danijela Markovic
CVPR
2007
IEEE
14 years 9 months ago
Using Segmentation to Verify Object Hypotheses
We present an approach for object recognition that combines detection and segmentation within a efficient hypothesize/test framework. Scanning-window template classifiers are the ...
Deva Ramanan