Face Detection And Gesture Recognition For Human Computer Interaction


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Face Detection and Gesture Recognition for Human-Computer Interaction


Face Detection and Gesture Recognition for Human-Computer Interaction

Author: Ming-Hsuan Yang

language: en

Publisher: Springer Science & Business Media

Release Date: 2012-12-06


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Traditionally, scientific fields have defined boundaries, and scientists work on research problems within those boundaries. However, from time to time those boundaries get shifted or blurred to evolve new fields. For instance, the original goal of computer vision was to understand a single image of a scene, by identifying objects, their structure, and spatial arrangements. This has been referred to as image understanding. Recently, computer vision has gradually been making the transition away from understanding single images to analyzing image sequences, or video understanding. Video understanding deals with understanding of video sequences, e. g. , recognition of gestures, activities, facial expressions, etc. The main shift in the classic paradigm has been from the recognition of static objects in the scene to motion-based recognition of actions and events. Video understanding has overlapping research problems with other fields, therefore blurring the fixed boundaries. Computer graphics, image processing, and video databases have obvious overlap with computer vision. The main goal of computer graphics is to gener ate and animate realistic looking images, and videos. Researchers in computer graphics are increasingly employing techniques from computer vision to gen erate the synthetic imagery. A good example of this is image-based rendering and modeling techniques, in which geometry, appearance, and lighting is de rived from real images using computer vision techniques. Here the shift is from synthesis to analysis followed by synthesis.

Gesture-Based Communication in Human-Computer Interaction


Gesture-Based Communication in Human-Computer Interaction

Author: Annelies Braffort

language: en

Publisher: Springer Science & Business Media

Release Date: 2000-01-12


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This book constitutes the thoroughly refereed post-proceedings of the International Gesture Workshop, GW'99, held in Gif-sur-Yvette, France, in March 1999. The 16 revised long papers and seven revised short papers were carefully reviewed for inclusion in the book. Also included are four invited papers and the transcription of a round table discussion. The papers are organized in sections on human perception and production of gesture, localization and segmentation, recognition, sign language, gesture synthesis and animation, and multimodality.

Computer Vision in Human-Computer Interaction


Computer Vision in Human-Computer Interaction

Author: Nicu Sebe

language: en

Publisher: Springer

Release Date: 2005-09-30


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Human-Computer Interaction (HCI) lies at the crossroads of many scienti?c areas including arti?cial intelligence, computer vision, face recognition, motion tracking, etc. In order for HCI systems to interact seamlessly with people, they need to understand their environment through vision and auditory input. Mo- over, HCI systems should learn how to adaptively respond depending on the situation. The goal of this workshop was to bring together researchers from the ?eld of computer vision whose work is related to human-computer interaction. The selected articles for this workshop address a wide range of theoretical and - plication issues in human-computer interaction ranging from human-robot - teraction, gesture recognition, and body tracking, to facial features analysis and human-computer interaction systems. This year 74 papers from 18 countries were submitted and 22 were accepted for presentation at the workshop after being reviewed by at least 3 members of the Program Committee. We had therefore a very competitive acceptance rate of less than 30% and as a consequence we had a very-high-quality workshop. Wewouldliketo thankallmembersofthe ProgramCommitteefor their help in ensuring the quality of the papers accepted for publication. We are grateful to Dr. Jian Wang for giving the keynote address. In addition, we wish to thank the organizers of the 10th IEEE International Conference on Computer Vision and our sponsors, University of Amsterdam, Leiden Institute of Advanced Computer Science, and the University of Illinois at Urbana-Champaign, for support in setting up our workshop.