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Invariant Local Feature for Object Recognition
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2009-09-18
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用于目标识别的局部特征的一个PPT介绍,作为对Local Feature的一个介绍还不错 ~
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1
Invariant Local
Feature for Object
Recognition
Presented by Wyman
2/05/2006
2
Introduction
Object Recognition
A task of finding 3D objects from 2D images (or even
video) and classifying them into one of the many known
object types
Closely related to the success of many computer vision
applications
robotics, surveillance, registration … etc.
A difficult problem that a general and comprehensive
solution to this problem has not been made
3
Introduction
Two main streams of approaches:
Model-Based Object Recognition
View-Based Object Recognition
2D representations of the same object viewed at different
angles and distances when available
Extract features (as the representations of object) and
compare them to those in the feature database
4
Matching with Local
Features
One of the possible solution
Matching with invariant local features
Robust to Occlusion, clutter background
cf. global features
Three phases:
Detection
Description
Matching
Repeatedly Detected
Distinctive
Accurate, Fast
Invariance
5
Research Direction
Study and improve the invariant local features
Detection, description and matching
Study and improve object recognition / matching
using invariant local features
Area to improve
Distinctiveness
Invariance
Efficiency
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