Paper Info
Title
Manifolds Of Bag Of Pixels: A Better Representation For Image Recognition?
Abstract
This paper reports a negative result of image recognition algorithm constructed on the bag of pixels, a new representation method of images, and the manifolds of configurations of representative vectors of images which is spanned by using soft permutation matrix. Rather than represented by a single conventional vector of intensity of pixels row by row, an image is described by a column vector whose entries are n-tuples (x.y.p(1)...,p(s)) where p(i.i=1...s) is the i-th property of the pixel at (x,y) which can be intensity or color information. So the image can be viewed as a point in high dimensional feature space 3. On the ground of this representation method and the researches of others, a new recognition algorithm is presented and tested with results far from satisfaction. The main contribution of this paper is that by using the basic analytical method, it provides a tentative explanation which reveals that some faults of the model and optimization algorithm confined its application in recognition.
Year
DOI
Venue
2006
10.1109/ICSMC.2006.384691
2006 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-6, PROCEEDINGS
Keywords
Field
DocType
feature space,image recognition
Feature detection (computer vision),Non-local means,Computer science,Binary image,Pyramid (image processing),Artificial intelligence,Computer vision,Feature vector,Pattern recognition,Feature extraction,Pixel,Machine learning,Pixel connectivity
Conference
ISSN
Citations 
PageRank 
1062-922X
1
0.41
References 
Authors
3
2
Name
Order
Citations
PageRank
Yi Guo1558.79
Junbin Gao21112119.67