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» Integrating Multiple Model Views for Object Recognition
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ICCV
2007
IEEE
16 years 9 days ago
Support Kernel Machines for Object Recognition
Kernel classifiers based on Support Vector Machines (SVM) have recently achieved state-of-the art results on several popular datasets like Caltech or Pascal. This was possible by...
Ankita Kumar, Cristian Sminchisescu
IVCNZ
1998
15 years 7 months ago
Height from Gradients in Polar Coordinates
This paper presents a new approach to integrate the gradient field to the relative depth or height map from multiple view directions in polar coordinates. Traditional integration ...
Jin Luo, Karsten Schlüns
BVAI
2007
Springer
16 years 5 days ago
Neural Object Recognition by Hierarchical Learning and Extraction of Essential Shapes
We present a hierarchical system for object recognition that models neural mechanisms of visual processing identified in the mammalian ventral stream. The system is composed of ne...
Daniel Oberhoff, Marina Kolesnik
WSC
2004
15 years 7 months ago
A Real-Time Panoramic Vision System for Autonomous Navigation
The paper discusses a panoramic vision system for autonomous navigation purposes. It describes a method for integrating data in real-time from multiple camera sources. The views f...
Sumantra Dasgupta, Amarnath Banerjee
ISVC
2009
Springer
16 years 16 days ago
Motion-Based View-Invariant Articulated Motion Detection and Pose Estimation Using Sparse Point Features
Abstract. We present an approach for articulated motion detection and pose estimation that uses only motion information. To estimate the pose and viewpoint we introduce a novel mot...
Shrinivas J. Pundlik, Stanley T. Birchfield