Motion in Games 5th International Conference, MIG 2012, Rennes, France, November 15-17, 2012. Proceedings / [electronic resource] :
edited by Marcelo Kallmann, Kostas Bekris.
- Berlin, Heidelberg : Springer Berlin Heidelberg, 2012.
- 1 online resource (XII, 384 p. 157 ill.)
- Lecture Notes in Computer Science, 7660 0302-9743 ; .
Moving Path Planning Forward -- Environmental Effect on Egress Simulation -- Following a Group of Targets in Large Environments -- Realtime Performance Animation Using Sparse 3D Motion Sensors -- A Game System for Speech Rehabilitation -- Virtual Try-On Using Kinect and HD Camera -- Physics -- Modal Vibrations for Character Animation -- Modeling Physically Simulated Characters with Motion Networks -- A Unified Constraint Framework for Physical Animation of Articulated Rigid Bodies -- Appealing Virtual Humans -- Perception of Complex Emotional Body Language of a Virtual Character -- Conveying Real-Time Ambivalent Feelings through Asymmetric Facial Expressions -- Automating the Transfer of a Generic Set of Behaviors onto a Virtual Character -- A Crowd Modeling Framework for Socially Plausible Animation Behaviors -- Controlling Three Agents in a Quarrel: Lessons Learnt -- Virtual Humans -- What's Next? The New Era of Autonomous Virtual Humans -- Virtual Humans: Evolving with Common Sense -- Locomotion -- Principles and Observation: How Do People Move? -- Using Optimal Control Methods to Generate Human Walking Motions -- Interactive Quadruped Animation -- Capturing Close Interactions with Objects Using a Magnetic Motion Capture System and a RGBD Sensor -- An Analysis of Motion Blending Techniques -- Automatic Hand-Over Animation for Free-Hand Motions from Low Resolution Input -- A Perceptual Study of the Relationship between Posture and Gesture for Virtual Characters -- Walker Speed Adaptation in Gait Synthesis -- An Efficient Energy Transfer Inverse Kinematics Solution -- Motion Planning with Discrete Abstractions and Physics-Based Game Engines -- Calibrating a Motion Model Based on Reinforcement Learning for Pedestrian Simulation -- A*mbush Family: A* Variations for Ambush Behavior and Path Diversity Generation -- Fuzzy Logic Controlled Pedestrian Groups in Urban Environments -- Enhancing the Behavior of Virtual Characters with Long Term Planning, Failure Anticipation and Opportunism -- Realtime, Physics-Based Marker Following -- Fast Motion Retrieval with the Distance Input Space -- Machine Learning Approach for Gesture Recognition Based on Automatic Feature Selection -- Dealing with Variability When Recognizing User's Performance in Natural Gesture Interfaces -- Treating Phobias with Computer Games -- Analysis and Verification of Navigation Strategies by Abstract Interpretation of Cellular Automata.