Intelligent Computer Vision and Image Processing: Innovation, Application, and Design

Intelligent Computer Vision and Image Processing: Innovation, Application, and Design

Muhammad Sarfraz

Copyright: © 2013 |Pages: 331

ISBN13: 9781466639065|ISBN10: 1466639067|EISBN13: 9781466639072

DOI: 10.4018/978-1-4666-3906-5

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Sarfraz, Muhammad, editor. Intelligent Computer Vision and Image Processing: Innovation, Application, and Design. IGI Global, 2013. https://doi.org/10.4018/978-1-4666-3906-5

APA

Sarfraz, M. (Ed.). (2013). Intelligent Computer Vision and Image Processing: Innovation, Application, and Design. IGI Global. https://doi.org/10.4018/978-1-4666-3906-5

Chicago

Sarfraz, Muhammad, ed. Intelligent Computer Vision and Image Processing: Innovation, Application, and Design. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-3906-5

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Innovations in computer vision technology continue to advance the applications and design of image processing and its influence on multimedia applications.

Intelligent Computer Vision and Image Processing: Innovation, Application, and Design provides methods and research on various disciplines related to the science and technology of machines. This reference source is essential for academicians, researchers, and practitioners interested in the latest developments and innovations in computer science, education, and security.

Table of Contents

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Front Materials

Title Page

Copyright Page

Editorial Advisory Board

Preface

Chapters

Chapter 1

Adapted Approach for Omnidirectional Egomotion Estimation (pages 1-13)

A. Radgui, C. Demonceaux, E. Mouaddib, M. Rziza, D. Aboutajdine

Egomotion estimation is based principally on the estimation of the optical flow in the image. Recent research has shown that the use of omnidirectional systems with large fields of view allow overcoming the limitation presented in...

Chapter 2

Adaptive Kansei Search Method Using User’s Subjective Criterion Deviation (pages 14-26)

Yoshitaka Sakurai, Rainer Knauf, Takashi Kawabe, Setsuo Tsuruta

Sensibility-vectors (kansei-vectors) are useful for retrieving objects like pictures, music, perfumes, and apparels on the Internet. The sensibility-vector is an array of values, each indicating a degree of feeling or impression...

Chapter 3

Chase-Like Decoding of Arithmetic Codes with Applications (pages 27-41)

Amin Zribi, Sonia Zaibi, Ramesh Pyndiah, Ammar Bouallègue

Motivated by recent results in Joint Source/Channel (JSC) coding and decoding, this paper addresses the problem of soft input decoding of Arithmetic Codes (AC). A new length-constrained scheme for JSC decoding of these codes is...

Chapter 4

Automatic Facial Expression Recognition by Facial Parts Location with Boosted-LBP (pages 42-55)

Yi Ji, Khalid Idrissi

This paper proposes an automatic facial expression recognition system, which uses new methods in both face detection and feature extraction. In this system, considering that facial expressions are related to a small set of muscles...

Chapter 5

An Evaluation Framework and a Benchmark for Multi/Hyperspectral Image Compression (pages 56-70)

Jonathan Delcourt, Alamin Mansouri, Tadeusz Sliwa, Yvon Voisin

This paper benchmarks three multi/hyperspectral image compression approaches: the classic Multi-2D compression approach and two different implementations of 3D approach (Full 3D and Hybrid). All approaches are combined with a...

Chapter 6

A Marked Point Process Model Including Strong Prior Shape Information Applied to Multiple Object Extraction from Images (pages 71-82)

Maria Kulikova, Ian Jermyn, Xavier Descombes, Elena Zhizhina, Josiane Zerubia

Object extraction from images is one of the most important tasks in remote sensing image analysis. For accurate extraction from very high resolution (VHR) images, object geometry needs to be taken into account. A method for...

Chapter 7

A Robust Embedding Scheme and an Efficient Evaluation Protocol for 3D Meshes Watermarking (pages 83-100)

Saoussen Ben Jabra, Ezzeddine Zagrouba

This paper proposes two main contributions. In the first one, a 3D mesh watermarking using Maximally Stable Meshes detection and multi-signatures embedding is presented. The originality of this scheme is to detect the attack type...

Chapter 8

Direct 3D Information Determination in an Uncalibrated Stereovision System by Using Evolutionary Algorithms (pages 101-112)

Alain Koch, Albert Dipanda, Claire Bourgeois-République

This paper proposes a 3D panoramic shape reconstruction method based on an uncalibrated stereovision system (USS) composed of five cameras circularly located around the object to be analysed. First, some interesting points are...

Chapter 9

Construction of 3D Triangles on Dupin Cyclides (pages 113-127)

Bertrand Belbis, Lionel Garnier, Sebti Foufou

This paper considers the conversion of the parametric Bézier surfaces, classically used in CAD-CAM, into patched of a class of non-spherical degree 4 algebraic surfaces called Dupin cyclides, and the definition of 3D triangle with...

Chapter 10

Evaluation Approach of Arabic Character Recognition (pages 128-145)

Hanan Aljuaid, Dzulkifli Mohamad, Muhammad Sarfraz

This paper proposes and contributes towards designing a complete system for off-line Arabic character recognition. The proposed system is specifically meant for Arabic handwriting recognition, but it equally works for the typed...

Chapter 11

Edge Detection by Maximum Entropy: Application to Omnidirectional and Perspective Images (pages 146-159)

Ibrahim Guelzim, Ahmed Hammouch, El Mustapha Mouaddib, Driss Aboutajdine

In the edge detection, the classical operators based on the derivation are sensitive to noise which causes detection errors. It is even more erroneous in the case of omnidirectional images, due to geometric distortions caused by the...

Chapter 12

Sliding Window-Based Fast Corner Matching Palmprint Authentication (pages 160-178)

Jyoti Malik, G. Sainarayanan, Ratna Dahiya

Authentication time is the main and important part of the authentication system. Normally the response time should be fast but as the number of persons in the database increases, there is probability of more response time taken for...

Chapter 13

Faster Ranking Using Extrapolation Techniques (pages 179-198)

Muhammad Ali Norozi

Extrapolations are techniques in linear algebra that require little additional infrastructure that must be incorporated in the existing query-dependent Link Analysis Ranking (LAR) algorithms. Extrapolations in LAR settings relies on...

Chapter 14

A Semi-Supervised Metric Learning for Content-Based Image Retrieval (pages 199-210)

I. Daoudi, K. Idrissi

In this paper, the authors propose a kernel-based approach to improve the retrieval performances of CBIR systems by learning a distance metric based on class probability distributions. Unlike other metric learning methods which are...

Chapter 15

Image Compression Technique for Low Bit Rate Transmission (pages 211-229)

Shaimaa A. El-said, Khalid F. A. Hussein, Mohamed M. Fouad

A novel Adaptive Lossy Image Compression (ALIC) technique is proposed to achieve high compression ratio by reducing the number of source symbols through the application of an efficient technique. The proposed algorithm is based on...

Chapter 16

Defect Detection Approach Based on Combination of Histogram Segmentation and Probabilistic Estimation Technique (pages 230-238)

Shervan Fekri Ershad

Defect Detection is a problem that has received much attention from image processing scientists. If defect detection is done correctly and accurately, it can be used in visual inspection systems. Consequently, many different methods...

Chapter 17

Rotation Invariant Texture Image Retrieval with Orthogonal Polynomials Model (pages 239-261)

R. Krishnamoorthi, S. Sathiya Devi

The exponential growth of digital image data has created a great demand for effective and efficient scheme and tools for browsing, indexing and retrieving images from a collection of large image databases. To address such a demand...

Chapter 18

Character Segmentation Scheme for OCR System: For Myanmar Printed Documents (pages 262-271)

Htwe Pa Pa Win, Phyo Thu Thu Khine, Khin Nwe Ni Tun

Automatic machine-printed Optical Characters or texts Recognizers (OCR) are highly desirable for a multitude of modern IT applications, including Digital Library software. However, the state of the art OCR systems cannot do for...

Chapter 19

Detecting Corners for 3D Objects (pages 272-280)

Misbah Irshad, Irfa Elahi, Malik Zawwar Hussain

In this paper, a corner detection algorithm for 3D objects is presented. This algorithm is an extension of corner detection scheme for planar objects (Chetrikov & Zsabo, 1999). This algorithm finds corners and other high curvature...

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