(Dark good director ....) SOURCE one)Because the texture is formed by the repeated appearance of the gray scale distribution in the spatial position, there is a certain gray relation between two pixels separated by a distance in the image space,
ObjectiveOriginally wanted to follow the convention to a overview, the result saw a very good and detailed introduction, so copy over, their own in front of the general summary of the paper, the details do not repeat, citing the article is very
Distinctive image features from scale-invariant keypoints. This paper is the most classic sift algorithm in the Image Recognition field. The first task assigned by the instructor is it. If you have found many Chinese translations on the Internet,
Reading Tips :The C + + image processing series is code-clear, readable-oriented, all using C + + code.the Delphi Image Processing "series with the focus on efficiency, the general code is Pascal, the core code uses BASM. As much as possible to keep
1.Scale Space of images
The scale space expression of an image refers to the description of the image at all scales, because many processing operators in the scale space have a high degree of similarity with the sensory region profiles recorded in
image feature operator--the principle analysis and implementation of gray-scale symbiosis Matrix (eight)[Email protected]Http://blog.csdn.net/kezunhaiThe gray-scale co-occurrence matrix was first proposed by Robert M. in the early stage, known as
The full name of the SIFT algorithm is scale-invariant feature transform, scale invariant feature conversion, is a feature that does not change with the rotation of the image scale, so the SIFT feature does not change with the enlargement or
Background and significance
In the Web2.0 era, especially with the popularity of social networking sites like Flickr and Facebook, images, videos, audio, text and other heterogeneous data are growing at an alarming rate every day. For example,
"Sift principle and Source Analysis" series Article index:http://www.cnblogs.com/tianyalu/p/5467813.htmlScale space theory the object in nature with observationscaleThere are different forms of expression. For example, we describe buildings with
The discussion of sparse radicals has been going on for nearly one months, this time to discuss multiscale geometric analysis. However, as the following discussion of these transformations are mainly oriented to the image, and I am now mainly
The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion;
products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the
content of the page makes you feel confusing, please write us an email, we will handle the problem
within 5 days after receiving your email.
If you find any instances of plagiarism from the community, please send an email to:
info-contact@alibabacloud.com
and provide relevant evidence. A staff member will contact you within 5 working days.