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" Face Detection and Gesture Recognition for Human-Computer Interaction "
by Ming-Hsuan Yang, Narendra Ahuja.
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BL
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| Record Number
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722543
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| Doc. No
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b542255
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| Main Entry
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by Ming-Hsuan Yang, Narendra Ahuja.
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| Title & Author
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Face Detection and Gesture Recognition for Human-Computer Interaction\ by Ming-Hsuan Yang, Narendra Ahuja.
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| Publication Statement
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Boston, MA: Springer US, 2001
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| Series Statement
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International series in video computing, 1.
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| Page. NO
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(xii, 182 pages)
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| ISBN
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1461514231
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: 9781461514237
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| Contents
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1. Introduction --;1. Face Detection --;2. Gesture Recognition --;3. Book Overview --;2. Detecting Faces in Still Images --;1. Introduction --;2. Detecting Faces In A Single Image --;3. Face Image Databases and Performance Evaluation --;4. Discussion and Conclusion --;3. Recognizing Hand Gestures Using Motion Trajectories --;1. Introduction --;2. Motivation and Approach --;3. Motion Segmentation --;4. Skin Color Model --;5. Geometric Analysis --;6. Motion Trajectories --;7. Recognizing Motion Patterns Using Time-Delay Neural Network --;8. Experiments --;9. Discussion and Conclusion --;4. Skin Color Model --;1. Proposed Mixture Model --;2. Statistical Tests --;3. Experimental Results --;4. Applications --;5. Discussion and Conclusion --;5. Face Detection Using Multimodal Density Models --;1. Introduction --;2. Previous Work --;3. Mixture of Factor Analyzers --;4. Mixture of Linear Spaces Using Fisher's Linear Discriminant --;5. Experiments --;6. Discussion and Conclusion --;6. Learning to Detect Faces with SNoW --;1. Introduction --;2. Previous Work --;3. SNoW Learning Architecture --;4. Learning to Detect Faces --;5. Empirical Results --;6. Analyzing SNoW: Theoretical and Empirical Results --;7. Generation and Efficiency --;8. Discussion and Conclusion --;7. Conclusion and Future Work --;1. Conclusion --;2. Future Work --;Appendices --;A- Covariance of Two Normally Distributed Variables --;B- Conditional Distributions of Multiple Correlation Coefficient --;References.
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| Abstract
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Recently, computer vision has gradually been making the transition away from understanding single images to analyzing image sequences, or video understanding. Computer graphics, image processing, and video databases have obvious overlap with computer vision.
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| Subject
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Artificial intelligence.
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| Subject
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Computer science.
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| Subject
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Computer vision.
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| LC Classification
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QA76.9.H85B965 2001
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| Added Entry
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Ming-Hsuan Yang
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Narendra Ahuja
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