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» Retrieving Objects Using Local Integral Invariants
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ICCV
2005
IEEE
14 years 11 months ago
Object Recognition in High Clutter Images Using Line Features
We present an object recognition algorithm that uses model and image line features to locate complex objects in high clutter environments. Finding correspondences between model an...
Philip David, Daniel DeMenthon
ICPR
2006
IEEE
14 years 10 months ago
Near-Duplicate Image Recognition and Content-based Image Retrieval using Adaptive Hierarchical Geometric Centroids
In this paper, we present a new feature extraction method that simultaneously captures the global and local characteristics of an image by adaptively computing hierarchical geomet...
Dave Elliman, Guoping Qiu, Jiwu Huang, Mai Yang
CVPR
2012
IEEE
11 years 11 months ago
Scale resilient, rotation invariant articulated object matching
A novel method is proposed for matching articulated objects in cluttered videos. The method needs only a single exemplar image of the target object. Instead of using a small set o...
Hao Jiang, Tai-Peng Tian, Kun He, Stan Sclaroff
ECCV
2008
Springer
14 years 11 months ago
Scale-Dependent/Invariant Local 3D Shape Descriptors for Fully Automatic Registration of Multiple Sets of Range Images
Abstract. Despite the ubiquitous use of range images in various computer vision applications, little has been investigated about the size variation of the local geometric structure...
John Novatnack, Ko Nishino
ICMCS
2005
IEEE
182views Multimedia» more  ICMCS 2005»
14 years 2 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