You might also like

More about Pose-Invariant Face Recognition

• Book details
• Synopsis
• Trending among others

You get 189 loyalty points

Book synopsis

Automatic face recognition is one of the most fascinating and challenging problems in computer vision. It is important for understanding the human visual cognition and useful in various vision applications. A great difficulty in face recognition is the separation of intrinsic facial characteristics from extrinsic image variations such as pose, illumination, and expression. This book presents a novel approach for processing head pose information in 2D images for analysis, synthesis and identification tasks. A localized two-stage linear system and its piecewise linear extension are used to model the continuous change of head-pose in the facial shape and texture appearances. Successful handling of head pose variation is one of the key factors for realizing facial information processing systems in virtually any realistic and practical scenario. The main contribution of this study is a solution that is simultaneously simple, general, and accurate. Its data-driven nature allows for extending our solution to other types of variation and object. Possible applications include on-line sequential learning systems and human-computer interaction.

Book details

Book category Books in English Computing & information technology Information technology: general issues

• Full title: Pose-Invariant Face Recognition
• Author: Kazunori Okada
• Language: English
• Binding: Paperback
• Number of pages: 228
• EAN: 9783639290530
• ISBN: 3639290534
• ID: 02251487
• Publisher: VDM Verlag
• Weight: 340 g
• Dimensions: 229 × 152 × 13 mm
• Date of publishing: 03. September 2010

Trending among others

---

---

---