OBJECT RECOGNITION pptx

OBJECT RECOGNITION Edited by Tam Phuong Cao Object Recognition Edited by Tam Phuong Cao Published by InTech Janeza Trdine 9, 51000 Rijeka, Croatia Copyright © 2011 InTech All chapters are Open Access articles distributed under the Creative Commons Non Commercial Share Alike Attribution 3.0 license, which permits to copy, distribute, transmit, and adapt the work in any medium, so long as the original work is properly cited. After this work has been published by InTech, authors have the right to republish it, in whole or part, in any publication of which they are the author, and to make other personal use of the work. Any republication, referencing or personal use of the work must explicitly identify the original source. Statements and opinions expressed in the chapters are these of the individual contributors and not necessarily those of the editors or publisher. No responsibility is accepted for the accuracy of information contained in the published articles. The publisher assumes no responsibility for any damage or injury to persons or property arising out of the use of any materials, instructions, methods or ideas contained in the book. Publishing Process Manager Katarina Lovrecic Technical Editor Teodora Smiljanic Cover Designer Martina Sirotic Image Copyright vadim kozlovsky, 2010. Used under license from Shutterstock.com First published March, 2011 Printed in India A free online edition of this book is available at www.intechopen.com Additional hard copies can be obtained from orders@intechweb.org Object Recognition, Edited by Tam Phuong Cao p. cm. ISBN 978-953-307-222-7 free online editions of InTech Books and Journals can be found at www.intechopen.com Part 1 Chapter 1 Chapter 2 Chapter 3 Chapter 4 Part 2 Chapter 5 Chapter 6 Chapter 7 Chapter 8 Preface IX Biological Inspiration and Analysis of Vision-based Object Recognition 1 On the Future of Object Recognition: The Contribution of Color 3 David J. Therriault Object Recognition - The Role of Hormones Throughout the Lifespan 15 Alicia A. Walf and Cheryl A. Frye The Object Recognition Task: A New Proposal for the Memory Performance Study 27 Valeria Paola Carlini Object and Scene Recognition Impairments in Patients with Macular Degeneration 43 Muriel Boucart and Thi Ha Chau Tran Object Recognition Techniques in 2-D Domain 63 Chord Context Algorithm for Shape Feature Extraction 65 Yang Mingqiang, Kpalma Kidiyo and Ronsin Joseph Occluded Image Object Recognition using Localized Nonnegative Matrix Factorization Methods 83 Ivan Bajla, Daniel Soukup and Svorad Štolc Combination of Sparse Scan and Dense Scan for Fast Vision-based Object Recognition 107 Tam Phuong Cao An Approach for Moving Object Recognition Based on BPR and CI 119 Li Wang, Lida Xu, Renjing Liu and Hai Hong Wang Contents Contents VI Vehicle Recognition System Using Singular Value Decomposition and Extreme Learning Machine 129 Zuraidi Saad, Muhammad Khusairi Osman, Iza Sazanita Isa, Saodah Omar, Sopiah Ishak, Khairul Azman Ahmad and Rozan Boudville Hierarchical Bayesian Image Models 145 Daniel Oberhoff Mean Pattern Estimation of Images Using Large Diffeomorphic Deformations 169 Jérémie Bigot and Sébastien Gadat Scene Recognition through Visual Attention and Image Features: A Comparison between SIFT and SURF Approaches 185 Fernando López-García, Xosé Ramón Fdez-Vidal, Xosé Manuel Pardo and Raquel Dosil Object Recognition using Isolumes 199 Rory C. Flemmer, Huub H. C. Bakker and Claire L. Flemmer Small Object Recognition Techniques Based on Structured Template Matching for High-Resolution Satellite Images 229 Toshio Modegi, Tomoaki Inazawa, Tsugio Chiba and Chiaki Kobayashi Hybrid Optical Neural Network-Type Filters for Multiple Objects Recognition within Cluttered Scenes 251 Ioannis Kypraios Super-Resolution Object Recognition Approach for Complex Edged Objects by UWB Radar 275 Rahmi Salman and Ingolf Willms Object Registration and Recognition in 3-D Domain 295 3D Object Registration and Recognition using Range Images 297 Erdem Akagündüz and İlkay Ulusoy Fibre Bundle Models and 3D Object Recognition 317 Fangxing Li, Linyu Peng and Huafei Sun Experiences in Recognizing Free-Shaped Objects from Partial Views by Using Weighted Cone Curvatures 333 Carlos Cerrada, Santiago Salamanca, Antonio Adan, Jose Antonio Cerrada and Miguel Adan Chapter 9 Chapter 10 Chapter 11 Chapter 12 Chapter 13 Chapter 14 Chapter 15 Chapter 16 Part 3 Chapter 17 Chapter 18 Chapter 19 Pref ac e Vision-based object recognition tasks are very familiar in our everyday activities, such as driving our car in the correct lane or obeying traffi c rules posted by road signs. We are usually not paying a ention to the process of how we perceive images with our eyes and give feedbacks in terms of action, such as slowing down to the speed limit. We do these tasks eff ortlessly in real-time. Computer vision and image processing fi eld has been trying to mimic the human’s capability in visually recognising objects which will allow machine to replace human in performing boring or dangerous tasks. Many applications have been deployed such as removing defects from a conveying belt in a factory. Many other advanced applications are being improved or developed. These applications require researchers and application developers to gain advanced, broad, in-depth and up-to-date understanding of object recognition. This book, Object Recognition, off ers a closer look at the concepts and techniques be- ing used in computer vision. It covers topics related to object recognition from both biological and technological point of view. These topics include, but are not limited to: • the process of object recognition in human brain • some diseases aff ecting object recognition capability of a body • image features or descriptors for object recognition • techniques for improving recognition speed • object recognition for real-world applications • object recognition and registration in 3-D domain This book is suitable for both novice and expert readers. The book provides readers with a vision-based object recognition techniques and enables them to develop ad- vanced, state-of-the-art technique for their applications. Tam Phuong Cao Sentient Vision Systems Pty Ltd, Australia [...]... interpreting results using the object recognition task Another major consideration is the nature and complexity of target stimuli utilized in the object recognition task The use of objects in object recognition, and findings with regard to aging and hormone studies using the object recognition methods described, were reviewed Furthermore, a modification to the object 24 Object Recognition recognition protocol... Bottles (toy) 24.2 6.0 8.1 16.2 6.7 0.1 0.5 0.9 10.2 5.5 5.3 39.1 1.4 24.8 Objects Table 1 Time spent investigating objects of different complexity by mice 20 Object Recognition exploration for all objects to be used for object recognition, it can be determined whether or not objects are ideal to use in an experiment The ideal objects for use elicit a reliable exploratory response from the mice that... further Thus, sources and experiential effects must be considered for object recognition Object Recognition - The Role of Hormones Throughout the Lifespan 19 6 Non-socially-relevant stimuli- objects A critical aspect of the object recognition task is the stimuli that are utilized (i.e objects) Rodents must have some preference for the objects used and readily investigate them during training and testing... Biological Inspiration and Analysis of Vision-based Object Recognition 1 On the Future of Object Recognition: The Contribution of Color David J Therriault University of Florida USA 1 Introduction Cognitive theories of object recognition have traditionally emphasized structural components (Biederman, 1987; Grossberg & Mingolla, 1985) The idea that object recognition is largely driven by shape was advantageous... theory On the Future of Object Recognition: The Contribution of Color 7 4 Our contribution to understanding the role of color in object recognition 4.1 On developing color object stimuli In a recent article, Therriault, Yaxley, and Zwaan (2009) explored a range of recognition and object representation tasks using color stimuli We made use of highly detailed photographs of objects There are several... validated objects for rats and mice If more objects are needed, they should approximate the characteristics of these existing objects, and be validated Thus, when setting up the object recognition task to assess cognitive performance of rodents, it is essential to validate and catalogue a number of different objects to utilize 7 Cognitive performance across the lifespan- role of hormones Object recognition. .. and replacement for object recognition performance, which suggests that hormones influence performance in this task There are sex differences in that females typically outperform males in object recognition performance, but males outperform females when the objects are moved to different locations in the testing chamber (spatial version of object recognition referred to as the object placement task;... object recognition task may be a means to investigate neurobiological mechanisms underlying learning of socially-relevant stimuli Fig 2 Cognitive performance of young, nulliparous and middle-aged multiparous female and male mice in the object recognition task using conspecifics as target stimuli Object Recognition - The Role of Hormones Throughout the Lifespan 23 9 Advantages of using the object recognition. .. Training trial Training in the object recognition task typically involves one training trial In the case of object recognition memory, as a measure of declarative memory, acquisition is thought to 16 Object Recognition occur with less exposure to the stimuli to be learned/recognized than in the case of nondeclarative memory (e.g procedural memory for a skill) Training in the object recognition task involves... consistently demonstrate that object recognition is much more flexible than relying on simple shape extraction from brightness, depth, and color Knowing that a strawberry is red contributes to recognizing that object in a fundamental way, above and beyond its shape On the Future of Object Recognition: The Contribution of Color 11 5 On finding the right conceptual analogy in object recognition 5.1 The original . process of object recognition in human brain • some diseases aff ecting object recognition capability of a body • image features or descriptors for object recognition • techniques for improving recognition. Multiple Objects Recognition within Cluttered Scenes 251 Ioannis Kypraios Super-Resolution Object Recognition Approach for Complex Edged Objects by UWB Radar 275 Rahmi Salman and Ingolf Willms Object. understanding of object recognition. This book, Object Recognition, off ers a closer look at the concepts and techniques be- ing used in computer vision. It covers topics related to object recognition