Boosting-Based Face Detection and Adaptation
Boosting-Based Face Detection and Adaptation
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Boosting-Based Face Detection and Adaptation by Cha Zhang
Face detection, because of its vast array of applications, is one of the most active research areas in computer vision. In this book, we review various approaches to face detection developed in the past decade, with more emphasis on boosting-based learning algorithms. We then present a series of algorithms that are empowered by the statistical view of boosting and the concept of multiple instance learning. We start by describing a boosting learning framework that is capable to handle billions of training examples. It differs from traditional bootstrapping schemes in that no intermediate thresholds need to be set during training, yet the total number of negative examples used for feature selection remains constant and focused (on the poor performing ones). A multiple instance pruning scheme is then adopted to set the intermediate thresholds after boosting learning. This algorithm generates detectors that are both fast and accurate. Table of Contents: A Brief Survey of the Face Detection Literature / Cascade-based Real-Time Face Detection / Multiple Instance Learning for Face Detection / Detector Adaptation / Other Applications / Conclusions and Future Work
Zhang, Zhengyou: - Dr Zhengyou Zhang is a Principal Researcher with Microsoft Research, Redmond, and manages the multimodal collaboration research team. He has published more than 200 papers in refereed international journals and conferences and coauthored 3-D Dynamic Scene Analysis: A Stereo Based Approach (1992); Epipolar Geometry in Stereo, Motion and Object Recognition (1996); and Computer Vision (1998). He is an IEEE Fellow.
| SKU | Unavailable |
| ISBN 13 | 9781608451333 |
| ISBN 10 | 160845133X |
| Title | Boosting-Based Face Detection and Adaptation |
| Author | Cha Zhang |
| Series | Synthesis Lectures On Computer Vision |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Morgan & Claypool Publishers |
| Year published | 2010-10-30 |
| Number of pages | 140 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |