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» Learning Photometric Invariance for Object Detection
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ICMCS
2005
IEEE
182views Multimedia» more  ICMCS 2005»
15 years 3 months ago
An integrated approach for generic object detection using kernel PCA and boosting
In this paper we present a novel framework for generic object class detection by integrating Kernel PCA with AdaBoost. The classifier obtained in this way is invariant to changes...
Saad Ali, Mubarak Shah
IBPRIA
2007
Springer
15 years 3 months ago
Unidimensional Multiscale Local Features for Object Detection Under Rotation and Mild Occlusions
Abstract. In this article, scale and orientation invariant object detection is performed by matching intensity level histograms. Unlike other global measurement methods, the presen...
Michael Villamizar, Alberto Sanfeliu, Juan Andrade...
ISSRE
2010
IEEE
14 years 7 months ago
DoDOM: Leveraging DOM Invariants for Web 2.0 Application Robustness Testing
—Web 2.0 applications are increasing in popularity. However, they are also prone to errors because of their dynamic nature. This paper presents DoDOM, an automated system for tes...
Karthik Pattabiraman, Benjamin G. Zorn
PAMI
2008
170views more  PAMI 2008»
14 years 9 months ago
Unsupervised Category Modeling, Recognition, and Segmentation in Images
Suppose a set of arbitrary (unlabeled) images contains frequent occurrences of 2D objects from an unknown category. This paper is aimed at simultaneously solving the following rel...
Sinisa Todorovic, Narendra Ahuja
ICPR
2008
IEEE
15 years 3 months ago
Ranking the local invariant features for the robust visual saliencies
Local invariant feature based methods have been proven to be effective in computer vision for object recognition and learning. But for an image, the number of points detected and ...
Shengping Xia, Peng Ren, Edwin R. Hancock