A fast probabilistic model for hypothesis rejection in SIFT-Based object recognition

Authors:
Patricio Loncomilla;Javier Ruiz-del-Solar
Affiliations:
Department of Electrical Engineering, Universidad de Chile, Chile;Department of Electrical Engineering, Universidad de Chile, Chile
Venue:
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
Year:
2006

Citing 6
Cited 7

Automated location matching in movies

Computer Vision and Image Understanding - Special isssue on video retrieval and summarization
Scale & Affine Invariant Interest Point Detectors

International Journal of Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints

International Journal of Computer Vision
A Performance Evaluation of Local Descriptors

IEEE Transactions on Pattern Analysis and Machine Intelligence
A Comparison of Affine Region Detectors

International Journal of Computer Vision
Improving SIFT-Based object recognition for robot applications

ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing

Robust Object Recognition Using Wide Baseline Matching for RoboCup Applications

RoboCup 2007: Robot Soccer World Cup XI
Offline Signature Verification Using Local Interest Points and Descriptors

CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
Fingerprint Verification Using Local Interest Points and Descriptors

CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
Applying SIFT Descriptors to Stellar Image Matching

CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
A new approach for fingerprint verification based on wide baseline matching using local interest points and descriptors

PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
Thermal face recognition using local interest points and descriptors for HRI applications

RoboCup 2010
Visual SLAM Based on Rigid-Body 3D Landmarks

Journal of Intelligent and Robotic Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper proposes an improvement over the traditional SIFT-based object recognition methodology proposed by Lowe [3]. This improvement corresponds to a fast probabilistic model for hypothesis rejection (affine solution verification stage), which allows a large reduction in the number of false positives. The new probabilistic model is evaluated in an object recognition task using a database of 100 pairs of images.