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» Invariances in kernel methods: From samples to objects
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IV
2007
IEEE
222views Visualization» more  IV 2007»
14 years 2 months ago
Video Stabilization Using Scale-Invariant Features
Video Stabilization is one of those important video processing techniques to remove the unwanted camera vibration in a video sequence. In this paper, we present a practical method...
Rong Hu, Rongjie Shi, I-Fan Shen, Wenbin Chen
ICCV
2005
IEEE
14 years 9 months ago
Learning Object Categories from Google's Image Search
Current approaches to object category recognition require datasets of training images to be manually prepared, with varying degrees of supervision. We present an approach that can...
Robert Fergus, Fei-Fei Li 0002, Pietro Perona, And...
CRV
2006
IEEE
148views Robotics» more  CRV 2006»
14 years 1 months ago
Autonomous Learning of Object Appearances using Colour Contour Frames
In this paper we make use of the idea that a robot can autonomously discover objects and learn their appearances by poking and prodding at interesting parts of a scene. In order t...
Per-Erik Forssén, Anders Moe
ICCV
2005
IEEE
14 years 9 months ago
Deformation Invariant Image Matching
We propose a novel framework to build descriptors of local intensity that are invariant to general deformations. In this framework, an image is embedded as a 2D surface in 3D spac...
Haibin Ling, David W. Jacobs
ISVC
2009
Springer
14 years 2 months ago
Multi-target and Multi-camera Object Detection with Monte-Carlo Sampling
In this paper, we propose a general-purpose methodology for detecting multiple objects with known visual models from multiple views. The proposed method is based Monte-Carlo sampli...
Giorgio Panin, Sebastian Klose, Alois Knoll