Albert Camus

Discrete Geometry for Computer Imagery

This book constitutes the thoroughly refereed proceedings of the 21st IAPR International Conference on Discrete Geometry for Computer Imagery, DGCI 2019, held in Marne-la-Vallée, France, in March 2019.The 38 full papers were carefully selected from 50 submissions. The papers are organized in topical sections on discrete geometric models and transforms; discrete topology; graph-based models, analysis and segmentation; mathematical morphology; shape representation, recognition and analysis; and geometric computation.

1. Daniel Thalmann
2. Soraia Raupp Musse

Crowd Simulation

1. Daniel , Thalmann
2. Soraia Raupp , Musse

Crowd Simulation

Research into the methods and techniques used in simulating crowds has developed extensively within the last few years, particularly in the areas of video games and film. Despite recent impressive results when simulating and rendering thousands of individuals, many challenges still exist in this area.The comparison of simulation with reality, the realistic appearance of virtual humans and their behavior, group structure and their motion, and collision avoidance are just some examples of these challenges. For most of the applications of crowds, it is now a requirement to have real-time simulations ¿ which is an additional challenge, particularly when crowds are very large.Crowd Simulation analyses these challenges in depth and suggests many possible solutions. Daniel Thalmann and Soraia Musse share their experiences and expertise in the application of: ·         Population modeling·         Virtual human animation·         Behavioral models for crowds·         The connection between virtual and real crowds·         Path planning and navigation·         Visual attention models·         Geometric and populated semantic environments·         Crowd renderingThe second edition presents techniques and methods developed since the authors first covered the simulation of crowds in 2007. Crowd Simulation includes in-depth discussions on the techniques of path planning, including a new hybrid approach between navigation graphs and potential-based methods. The importance of gaze attention ¿ individuals appearing conscious of their environment and of others ¿ is introduced, and a free-of-collision method for crowds is also discussed.

Brain, Vision, and Artificial Intelligence

Brain Basics.- Towards a Dynamic Neuropharmacology: Integrating Network and Receptor Levels.- Cortical Architecture.- Unsupervised Recognition of Neuronal Discharge Waveforms for On-line Real-Time Operation.- Neural Connectivity and Dynamical Regimes of Neural Activity in a Network of Interactive Populations.- Signal Transmission and Synchrony Detection in a Network of Inhibitory Interneurons.- Stimulus-Driven Unsupervised Synaptic Pruning in Large Neural Networks.- Inverse First Passage Time Method in the Analysis of Neuronal Interspike Intervals of Neurons Characterized by Time Varying Dynamics.- Coding by Neural Population Oscillations?.- Neural Code and Irregular Spike Trains.- Natural Vision.- Basic Retinal Circuitry in Health and Disease.- Does a Plane Imitate a Bird? Does Computer Vision Have to Follow Biological Paradigms?.- A Neural Model of Human Object Recognition Development.- Photoelectric Response of Bacteriorhodopsin in Thin PVA Films and Its Model.- Non-image Forming Function of the Extraocular Photoreceptors in the Ganglion of the Sea Slug Onchidium.- A Population-Based Inference Framework for Feature-Based Attention in Natural Scenes.- Multi-modal Primitives as Functional Models of Hyper-columns and Their Use for Contextual Integration.- Three Dilemmas of Signal- and Symbol-Based Representations in Computer Vision.- An LGN Inspired Detect/Transmit Framework for High Fidelity Relay of Visual Information with Limited Bandwidth.- On Cognitive Dynamic Map and Its Use for Navigation in Space.- Visual Selection in Human Frontal Eye Fields.- Multi-scale Keypoints in V1 and Face Detection.- Limitation of Maintenance of Feature-Bound Objects in Visual Working Memory.- Molecular and Functional Diversity of Visual Pigments: Clues from the PhotosensitiveOpsin-Like Proteins of the Animal Model Hydra.- Learning Location Invariance for Object Recognition and Localization.- Artificial Inteligence.- Enacted Theories of Visual Awareness: A Neuromodelling Analysis.- Mind as an Anticipatory Device: For a Theory of Expectations.- A Cognitive Model for Autonomous Agents Based on Bayesian Programming.- A Structural Learning Algorithm and Its Application to Predictive Toxicology Evaluation.- Combining Rule-Based and Sample-Based Classifiers - Probabilistic Approach.- Mapping and Combining Combinatorial Problems into Energy Landscapes via Pseudo-Boolean Constraints.- Robust Ellipse-Specific Fitting for Real-Time Machine Vision.- A Feature-Based Model of Semantic Memory: The Importance of Being Chaotic.- Semantic Web Services with SOUL.- Artificial Vision.- Modeling the Brain's Operating System.- A Bayesian Approach to Situated Vision.- A Fuzzy Scale-Space Approach to Feature-Based Image Representation and Retrieval.- Active Acquisition of 3D Map in Robot Brain by Combining Motion and Perceived Images.- Lateral Interaction in Accumulative Computation: Motion-Based Grouping Method.- Detecting and Ranking Foreground Regions in Gray-Level Images.- Incomplete Contour Representations and Shape Descriptors: ICR Test Studies.- Rotation and Scale Invariant Shape Description Using the Contour Segment Curvature.- A Study on Enhanced Dynamic Signature Verification for the Embedded System.- Spatio-temporal Attention Mechanism for More Complex Analysis to Track Multiple Objects.- Stereovision Disparity Analysis by Two-Dimensional Motion Charge Map Inspired in Neurobiology.- Image Analysis and Automatic Surface Identification by a Bi-level Multi-classifier.- Real Time Virtualized Real Object Manipulation in an Augmented RealityEnvironment.- Dominant Plane Detection Using Optical Flow and Independent Component Analysis.- Algorithm That Mimics Human Perceptual Grouping of Dot Patterns.- Heuristic Algorithms for Fast and Accurate Tracking of Moving Objects in Unrestricted Environments.- Single Image Estimation of Facial Albedo Maps.- Optical Flow Computation for Compound Eyes: Variational Analysis of Omni-Directional Views.- Latent Semantic Desc