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Matching feature points and discarding false matching pairs

2005 IEEE International Conference on Information Acquisition, 2006
The approach is to integrate some traditional matching methods of feature point, and proposes a matching method of the feature points based on the fuzzy similarity measure of the feature points. For obtaining the complete matching between two sets of the feature points that hold the fuzzy similarity measure, we employ Hungarian method.
null Youfu Wu, null Mo Dai
openaire   +1 more source

Dynamic Feature Matching for Partial Face Recognition

IEEE Transactions on Image Processing, 2019
Partial face recognition (PFR) in an unconstrained environment is a very important task, especially in situations where partial face images are likely to be captured due to occlusions, out-of-view, and large viewing angle, e.g., video surveillance and mobile devices.
Lingxiao He   +3 more
openaire   +2 more sources

A Feature Matching Method: Sparse Feature Tree

Journal of Software, 2006
Computational efficiency is an important concern for machine learning algorithms, especially for applications on large test sets or in real-time scenarios. In this paper, a novel data structure and the corresponding algorithms for the execution system of the maximum entropy model are described.
openaire   +1 more source

Feature Detection and Matching

2017
This chapter continues the exploration of motion from the previous chapter with more sophisticated tracking methods. In the previous chapter, you compared and analyzed the whole image between frames to identify movement information. As a result, the motion details tracked from these methods are general, without making use of the specific structural ...
openaire   +1 more source

Matching Affine Features with the SYBA Feature Descriptor

2014
Many vision-based applications require a robust feature descriptor that works well with image deformations such as compression, illumination, and blurring. It remains a challenge for a feature descriptor to work well with image deformation caused by viewpoint change.
Alok Desai, Dah-Jye Lee, Dan Ventura
openaire   +1 more source

Feature Matching via Motion-Consistency Driven Probabilistic Graphical Model

International Journal of Computer Vision, 2022
Jiayi Ma   +3 more
semanticscholar   +1 more source

Feature Matching

2008
Shashi Shekhar, Hui Xiong
openaire   +1 more source

Matching Local Features

2011
Kristen Grauman, Bastian Leibe
openaire   +1 more source

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