Biologically Motivated Computer Vision

Inhalt

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