BN.com Gift Guide

This is not available 013305

Paperback (Print)
Buy New
Buy New from BN.com
$62.72
Used and New from Other Sellers
Used and New from Other Sellers
from $71.94
Usually ships in 1-2 business days
Other sellers (Paperback)
  • All (1) from $71.94   
  • New (1) from $71.94   

More About This Textbook

Overview

Natural images of objects and scenes show a fascinating amount of variability due to different factors like lighting change, viewpoint change, occlusion and even articulation and non-rigid deformation. Various techniques for object recognition and image matching either try to model these changes or are insensitive to them. There are certain cases like recognition of specular objects and images with arbitrary deformations where existing techniques do not perform well. We aim to develop new techniques to deal with some of these cases. We propose two different approaches for attacking deformation in images. The first approach is based on matching keypoints in images using histogram descriptors, while the second approach is based on a completely deformation invariant representation for images. Histograms are a powerful statistical representation for keypoint matching and content based image retrieval. The earth mover's distance (EMD) is an important perceptually meaningful metric for comparing histograms, but it suffers from high (O(n3 log n)) computational complexity. We propose a novel linear time algorithm for approximating the EMD for low dimensional histograms using the sum of absolute values of the weighted wavelet coefficients of the difference histogram. EMD computation is a special case of the Kantorovich-Rubinstein transshipment problem, and we exploit the Holder continuity constraint in its dual form to convert it into a simple optimization problem with an explicit solution in the wavelet domain. We prove that the resulting wavelet EMD metric is equivalent to EMD, i.e. the ratio of the two is bounded and provide estimates for the bounds. The weighted wavelet transform can be computed in time linear in the number of histogram bins, while comparison is about as fast as for the normal Euclidean distance or chi2 statistic. We experimentally show that wavelet EMD is a good approximation to EMD, has similar performance, but requires much less computation. The same algorithm can be used to compare histograms with unequal mass. We also provide an algorithm that computes the best match between a histogram and a scaled version of another histogram. For practical evaluation of these techniques, we have a C++ implementation of the fast Lifting Wavelet transform algorithm for arbitrary dimensional histograms. An image of a non-planar object can undergo a large non-linear deformation due to a viewpoint change. Complex deformations occur in images of non-rigid objects, for example, in medical image sequences. We propose using the contour tree as a novel framework invariant to arbitrary (smooth) deformations for representing and comparing images. The contour tree encodes the arrangement of the iso-intensity contours of an image and is invariant to arbitrary deformations since it does not depend on the shape of the contours. It represents all the deformation invariant information in an image. Computing the edit distance between two trees gives us a measure of the deformation invariant distance between the two corresponding images. This distance measure can also take into account various other difficulties of image matching, such as noise, occlusion and lighting changes. Lighting changes greatly affect the appearance of all objects and make recognition difficult. Recognition of specular objects is particularly difficult because their appearance is much more sensitive to lighting changes than that of Lambertian objects. We consider an approach in which we use a 3D model to deduce the lighting that best matches the model to the image. In this case, an important constraint is that incident lighting should be non-negative everywhere. We...
Read More Show Less

Product Details

  • ISBN-13: 9781243579713
  • Publisher: BiblioLabsII
  • Publication date: 9/3/2011
  • Pages: 72
  • Product dimensions: 8.00 (w) x 10.00 (h) x 0.19 (d)

Customer Reviews

Be the first to write a review
( 0 )
Rating Distribution

5 Star

(0)

4 Star

(0)

3 Star

(0)

2 Star

(0)

1 Star

(0)

Your Rating:

Your Name: Create a Pen Name or

Barnes & Noble.com Review Rules

Our reader reviews allow you to share your comments on titles you liked, or didn't, with others. By submitting an online review, you are representing to Barnes & Noble.com that all information contained in your review is original and accurate in all respects, and that the submission of such content by you and the posting of such content by Barnes & Noble.com does not and will not violate the rights of any third party. Please follow the rules below to help ensure that your review can be posted.

Reviews by Our Customers Under the Age of 13

We highly value and respect everyone's opinion concerning the titles we offer. However, we cannot allow persons under the age of 13 to have accounts at BN.com or to post customer reviews. Please see our Terms of Use for more details.

What to exclude from your review:

Please do not write about reviews, commentary, or information posted on the product page. If you see any errors in the information on the product page, please send us an email.

Reviews should not contain any of the following:

  • - HTML tags, profanity, obscenities, vulgarities, or comments that defame anyone
  • - Time-sensitive information such as tour dates, signings, lectures, etc.
  • - Single-word reviews. Other people will read your review to discover why you liked or didn't like the title. Be descriptive.
  • - Comments focusing on the author or that may ruin the ending for others
  • - Phone numbers, addresses, URLs
  • - Pricing and availability information or alternative ordering information
  • - Advertisements or commercial solicitation

Reminder:

  • - By submitting a review, you grant to Barnes & Noble.com and its sublicensees the royalty-free, perpetual, irrevocable right and license to use the review in accordance with the Barnes & Noble.com Terms of Use.
  • - Barnes & Noble.com reserves the right not to post any review -- particularly those that do not follow the terms and conditions of these Rules. Barnes & Noble.com also reserves the right to remove any review at any time without notice.
  • - See Terms of Use for other conditions and disclaimers.
Search for Products You'd Like to Recommend

Recommend other products that relate to your review. Just search for them below and share!

Create a Pen Name

Your Pen Name is your unique identity on BN.com. It will appear on the reviews you write and other website activities. Your Pen Name cannot be edited, changed or deleted once submitted.

 
Your Pen Name can be any combination of alphanumeric characters (plus - and _), and must be at least two characters long.

Continue Anonymously

    If you find inappropriate content, please report it to Barnes & Noble
    Why is this product inappropriate?
    Comments (optional)