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Biologically Motivated Computer Vision

Overview of attention for book
Cover of 'Biologically Motivated Computer Vision'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Ultra-Rapid Scene Categorization with a Wave of Spikes
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    Chapter 2 A Biologically Motivated Scheme for Robust Junction Detection
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    Chapter 3 Iterative Tuning of Simple Cells for Contrast Invariant Edge Enhancement
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    Chapter 4 How the Spatial Filters of Area V1 Can Be Used for a Nearly Ideal Edge Detection
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    Chapter 5 Improved Contour Detection by Non-classical Receptive Field Inhibition
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    Chapter 6 Contour Detection by Synchronization of Integrate-and-Fire Neurons
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    Chapter 7 Reading Speed and Superiority of Right Visual Field on Foveated Vision
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    Chapter 8 A Model of Contour Integration in Early Visual Cortex
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    Chapter 9 Computational Cortical Cell Models for Continuity and Texture
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    Chapter 10 A Neural Model of Human Texture Processing: Texture Segmentation vs. Visual Search
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    Chapter 11 Unsupervised Image Segmentation Using a Colony of Cooperating Ants
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    Chapter 12 Image Reconstruction from Gabor Magnitudes
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    Chapter 13 A Binocular Stereo Algorithm for Log-Polar Foveated Systems
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    Chapter 14 Rotation-Invariant Optical Flow by Gaze-Depended Retino-Cortical Mapping
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    Chapter 15 An Analysis of the Motion Signal Distributions Emerging from Locomotion through a Natural Environment
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    Chapter 16 Prototypes of Biological Movements in Brains and Machines
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    Chapter 17 Insect-Inspired Estimation of Self-Motion
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    Chapter 18 Tracking through Optical Snow
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    Chapter 19 On Computing Visual Flows with Boundaries: The Case of Shading and Edges
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    Chapter 20 Biological Motion of Speech
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    Chapter 21 Object Perception: Generative Image Models and Bayesian Inference
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    Chapter 22 The Role of Propagation and Medial Geometry in Human Vision
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    Chapter 23 Ecological Statistics of Contour Grouping
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    Chapter 24 Statistics of Second Order Multi-modal Feature Events and Their Exploitation in Biological and Artificial Visual Systems
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    Chapter 25 Qualitative Representations for Recognition
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    Chapter 26 Scene-Centered Description from Spatial Envelope Properties
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    Chapter 27 Visual Categorization: How the Monkey Brain Does It
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    Chapter 28 A New Approach towards Vision Suggested by Biologically Realistic Neural Microcircuit Models
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    Chapter 29 Interpreting LOC Cell Responses
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    Chapter 30 Neural Mechanisms of Visual Flow Integration and Segregation —Insights from the Pinna-Brelsta. Illusion and Variations of It
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    Chapter 31 Reconstruction of Subjective Surfaces from Occlusion Cues
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    Chapter 32 Extraction of Object Representations from Stereo Image Sequences Utilizing Statistical and Deterministic Regularities in Visual Data
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    Chapter 33 A Method of Extracting Objects of Interest with Possible Broad Application in Computer Vision
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    Chapter 34 Medical Ultrasound Image Similarity Measurement by Human Visual System (HVS) Modelling
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    Chapter 35 Seeing People in the Dark: Face Recognition in Infrared Images
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    Chapter 36 Modeling Insect Compound Eyes: Space-Variant Spherical Vision
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    Chapter 37 Facial and Eye Gaze Detection
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    Chapter 38 1-Click Learning of Object Models for Recognition
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    Chapter 39 On the Role of Object-Specific Features for Real World Object Recognition in Biological Vision
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    Chapter 40 Object Detection in Natural Scenes by Feedback
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    Chapter 41 Stochastic Guided Search Model for Search Asymmetries in Visual Search Tasks
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    Chapter 42 Biologically Inspired Saliency Map Model for Bottom-up Visual Attention
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    Chapter 43 Hierarchical Selectivity for Object-Based Visual Attention
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    Chapter 44 Attending to Motion: Localizing and Classifying Motion Patterns in Image Sequences
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    Chapter 45 A Goal Oriented Attention Guidance Model
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    Chapter 46 Visual Attention Using Game Theory
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    Chapter 47 Attentional Selection for Object Recognition — A Gentle Way
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    Chapter 48 Audio-Oculomotor Transformation
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    Chapter 49 Gender Classification of Human Faces
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    Chapter 50 Face Reconstruction from Partial Information Based on a Morphable Face Model
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    Chapter 51 Dynamics of Face Categorization
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    Chapter 52 Recognizing Expressions by Direct Estimation of the Parameters of a Pixel Morphable Model
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    Chapter 53 Modeling of Movement Sequences Based on Hierarchical Spatial-Temporal Correspondence of Movement Primitives
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    Chapter 54 Automatic Synthesis of Sequences of Human Movements by Linear Combination of Learned Example Patterns
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    Chapter 55 An Adaptive Hierarchical Model of the Ventral Visual Pathway Implemented on a Mobile Robot
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    Chapter 56 A New Robotics Platform for Neuromorphic Vision: Beobots
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    Chapter 57 Learning to Act on Objects
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    Chapter 58 Egocentric Direction and the Visual Guidance of Robot Locomotion Background, Theory and Implementation
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    Chapter 59 Evolving Vision-Based Flying Robots
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    Chapter 60 Object Detection and Classification for Outdoor Walking Guidance System
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    Chapter 61 Understanding Human Behaviors Based on Eye-Head-Hand Coordination
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    Chapter 62 Vision-Based Homing with a Panoramic Stereo Sensor
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    Chapter 63 Unsupervised Learning of Visual Structure
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    Chapter 64 Role of Featural and Configural Information in Familiar and Unfamiliar Face Recognition
  66. Altmetric Badge
    Chapter 65 View-Based Recognition of Faces in Man and Machine: Re-visiting Inter-extra-Ortho
Attention for Chapter 45: A Goal Oriented Attention Guidance Model
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About this Attention Score

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Mentioned by

patent
1 patent

Citations

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42 Dimensions

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56 Mendeley
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1 CiteULike
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Chapter title
A Goal Oriented Attention Guidance Model
Chapter number 45
Book title
Biologically Motivated Computer Vision
Published in
Lecture notes in computer science, November 2002
DOI 10.1007/3-540-36181-2_45
Book ISBNs
978-3-54-000174-4, 978-3-54-036181-7
Authors

Vidhya Navalpakkam, Laurent Itti, Navalpakkam, Vidhya, Itti, Laurent

Editors

Heinrich H. Bülthoff, Christian Wallraven, Seong-Whan Lee, Tomaso A. Poggio

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 9%
Sweden 1 2%
China 1 2%
Slovakia 1 2%
Russia 1 2%
Poland 1 2%
Unknown 46 82%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 41%
Researcher 12 21%
Student > Master 5 9%
Other 4 7%
Professor 4 7%
Other 7 13%
Unknown 1 2%
Readers by discipline Count As %
Computer Science 23 41%
Psychology 16 29%
Agricultural and Biological Sciences 5 9%
Engineering 4 7%
Business, Management and Accounting 2 4%
Other 4 7%
Unknown 2 4%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 September 2018.
All research outputs
#8,882,501
of 26,017,215 outputs
Outputs from Lecture notes in computer science
#2,580
of 8,229 outputs
Outputs of similar age
#34,012
of 137,748 outputs
Outputs of similar age from Lecture notes in computer science
#47
of 102 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,229 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has gotten more attention than average, scoring higher than 52% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 137,748 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 102 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.