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Biologically Motivated Computer Vision

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Cover of 'Biologically Motivated Computer Vision'

Table of Contents

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    Book Overview
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    Chapter 1 CBF: A New Framework for Object Categorization in Cortex
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    Chapter 2 The Perception of Spatial Layout in a Virtual World
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    Chapter 3 Towards a Computational Model for Object Recognition in IT Cortex
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    Chapter 4 Straight Line Detection as an Optimization Problem: An Approach Motivated by the Jumping Spider Visual System
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    Chapter 5 Factorial Code Representation of Faces for Recognition
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    Chapter 6 Distinctive Features Should Be Learned
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    Chapter 7 Moving Object Segmentation Based on Human Visual Sensitivity
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    Chapter 8 Object Classification Using a Fragment-Based Representation
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    Chapter 9 Confrontation of Retinal Adaptation Model with Key Features of Psychophysical Gain Behavior Dynamics
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    Chapter 10 Polarization-Based Orientation in a Natural Environment
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    Chapter 11 Computation Model of Eye Movement in Reading Using Foveated Vision
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    Chapter 12 New Eyes for Shape and Motion Estimation
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    Chapter 13 Top-Down Attention Control at Feature Space for Robust Pattern Recognition
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    Chapter 14 A Model for Visual Camouflage Breaking
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    Chapter 15 Development of a Biologically Inspired Real-Time Visual Attention System
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    Chapter 16 Real-Time Visual Tracking Insensitive to Three-Dimensional Rotation of Objects
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    Chapter 17 Heading Perception and Moving Objects
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    Chapter 18 Dynamic Vergence Using Disparity Flux
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    Chapter 19 Computing in Cortical Columns: curve inference and stereo correspondence
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    Chapter 20 Active Vision from Multiple Cues
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    Chapter 21 An Efficient Data Structure for Feature Extraction in a Foveated Environment
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    Chapter 22 Parallel Trellis Based Stereo Matching Using Constraints
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    Chapter 23 Unsupervised Learning of Biologically Plausible Object Recognition Strategies
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    Chapter 24 Structured Kalman Filter for Tracking Partially Occluded Moving Objects
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    Chapter 25 Face Recognition under Varying Views
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    Chapter 26 Time Delay Effects on Dynamic Patterns in a Coupled Neural Model
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    Chapter 27 Pose-Independent Object Representation by 2-D Views
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    Chapter 28 An Image Enhancement Technique Based on Wavelets
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    Chapter 29 Front-End Vision: A Multiscale Geometry Engine
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    Chapter 30 Face Reconstruction Using a Small Set of Feature Points
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    Chapter 31 Modeling Character Superiority Effect in Korean Characters by Using IAM
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    Chapter 32 Wavelet-Based Stereo Vision
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    Chapter 33 A Neural Network Model for Long-Range Contour Diffusion by Visual Cortex
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    Chapter 34 Automatic Generation of Photo-Realistic Mosaic Image
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    Chapter 35 The Effect of Color Differences on the Detection of the Target in Visual Search
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    Chapter 36 A Color-Triangle-Based Approach to the Detection of Human Face
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    Chapter 37 Multiple People Tracking Using an Appearance Model Based on Temporal Color
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    Chapter 38 Face and Facial Landmarks Location Based on Log-Polar Mapping
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    Chapter 39 Biology-Inspired Early Vision System for a Spike Processing Neurocomputer
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    Chapter 40 A New Line Segment Grouping Method for Finding Globally Optimal Line Segments
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    Chapter 41 A Biologically-Motivated Approach to Image Representation and Its Application to Neuromorphology
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    Chapter 42 A Fast Circular Edge Detector for the Iris Region Segmentation
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    Chapter 43 Face Recognition Using Foveal Vision
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    Chapter 44 Fast Distance Computation with a Stereo Head-Eye System
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    Chapter 45 Bio-inspired Texture Segmentation Architectures
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    Chapter 46 3D Facial Feature Extraction and Global Motion Recovery Using Multi-modal Information
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    Chapter 47 Evaluation of Adaptive NN-RBF Classifier Using Gaussian Mixture Density Estimates
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    Chapter 48 Scene Segmentation by Chaotic Synchronization and Desynchronization
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    Chapter 49 Electronic Circuit Model of Color Sensitive Retinal Cell Network
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    Chapter 50 The Role of Natural Image Statistics in Biological Motion Estimation
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    Chapter 51 Enhanced Fisherfaces for Robust Face Recognition
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    Chapter 52 A Humanoid Vision System for Versatile Interaction
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    Chapter 53 The Spectral Independent Components of Natural Scenes
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    Chapter 54 Topographic ICA as a Model of Natural Image Statistics
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    Chapter 55 Independent Component Analysis of Face Images
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    Chapter 56 Orientation Contrast Detection in Space-Variant Images
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    Chapter 57 Multiple Object Tracking in Multiresolution Image Sequences
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    Chapter 58 A Geometric Model for Cortical Magnification
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    Chapter 59 Tangent Fields from Population Coding
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    Chapter 60 Efficient Search Technique for Hand Gesture Tracking in Three Dimensions
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    Chapter 61 Robust, Real-Time Motion Estimation from Long Image Sequences Using Kalman Filtering
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    Chapter 62 T-CombNET - A Neural Network Dedicated to Hand Gesture Recognition
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    Chapter 63 Active and Adaptive Vision: Neural Network Models
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    Chapter 64 Temporal Structure in the Input to Vision Can Promote Spatial Grouping
Overall attention for this book and its chapters
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Mentioned by

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4 Wikipedia pages

Citations

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Title
Biologically Motivated Computer Vision
Published by
Springer Berlin Heidelberg, July 2003
DOI 10.1007/3-540-45482-9
ISBNs
978-3-54-067560-0, 978-3-54-045482-3
Editors

Lee, Seong-Whan, Bülthoff, Heinrich H., Poggio, Tomaso

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 67%
Student > Postgraduate 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Environmental Science 1 33%