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» Robust Algorithms for Object Localization
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ICCV
2005
IEEE
14 years 10 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
CVPR
2009
IEEE
15 years 3 months ago
Learning color and locality cues for moving object detection and segmentation
This paper presents an algorithm for automatically detecting and segmenting a moving object from a monocular video. Detecting and segmenting a moving object from a video with limit...
Feng Liu (University of Wisconsin-Madison), Michae...
ICCV
2007
IEEE
14 years 10 months ago
3D generic object categorization, localization and pose estimation
We propose a novel and robust model to represent and learn generic 3D object categories. We aim to solve the problem of true 3D object categorization for handling arbitrary rotati...
Silvio Savarese, Fei-Fei Li 0002
ISBI
2008
IEEE
14 years 9 months ago
An algorithm to map asymmetries of bilateral objects in point clouds
We present a method to automatically quantify the local asymmetries of bilateral structures in point clouds. The method relies on the robust computation of the approximate symmetr...
Benoît Combès, Robin Hennessy, John W...
CVPR
2012
IEEE
11 years 11 months ago
Robust object tracking via sparsity-based collaborative model
In this paper we propose a robust object tracking algorithm using a collaborative model. As the main challenge for object tracking is to account for drastic appearance change, we ...
Wei Zhong, Huchuan Lu, Ming-Hsuan Yang