FACE recognition

Although the history of computer-aided face recognition stretches back to the 1960s, automatic face recognition remains an unsolved problem and still offers a great challenge to computer-vision and pattern recognition researchers. This handbook is a comprehensive account of face recognition research and technology, written by a group of leading international researchers. Twelve chapters cover all the sub-areas and major components for designing operational face recognition systems. Background, modern techniques, recent results, and challenges and future directions are considered.

Lenovo's Veriface face recognition software will give you unprecedented security. It is pretty cool IMO. Basically you have to stick your face in front of the camera about 1ft away for a second or two to login. works on non lenovo ver.

Lenovo’s Veriface face recognition software will give you unprecedented security. It is pretty cool IMO. Basically you have to stick your face in front of the camera about 1ft away for a second or two to login. works on non lenovo ver.

Most biometric systems employed for human recognition require physical contact with, or close proximity to, a cooperative subject. Far more challenging is the ability to reliably recognize individuals at a distance, when viewed from an arbitrary angle under real-world environmental conditions. Gait and face data are the two biometrics that can be most easily captured from a distance using a video camera. This comprehensive and logically organized text/reference addresses the fundamental problems associated with gait and face-based human recognition, from color and infrared video data that are acquired from a distance. It examines both model-free and model-based approaches to gait-based human recognition, including newly developed techniques where the both the model and the data (obtained from multiple cameras) are in 3D. In addition, the work considers new video-based techniques for face profile recognition, and for the super-resolution of facial imagery obtained at different angles. Finally, the book investigates integrated systems that detect and fuse both gait and face biometrics from video data.

Human Recognition at a Distance in Video /by Bir Bhanu and Ju Han. Most biometric systems employed for human recognition require physical contact with, or close proximity to, a cooperative subject.
Far more challenging is the ability to reliably recognize individuals at a distance, when viewed from an arbitrary angle under real-world environmental conditions. Gait and face data are the two biometrics that can be most easily captured from a distance using a video camera.

The two-volume set LNCS 3211/3212 constitutes the refereed proceedings of the International Conference on Image Analysis and Recognition, ICIAR 2004, held in Porto, Portugal in September/October 2004.The 210 revised papers presented were carefully reviewed and selected from 316 full papers submitted. The papers are organized in topical sections on image segmentation, image processing and analysis, image analysis and systhesis, image and video coding, shape and matching, image description and recognition, video processing and analysis, 3D imaging, image retrieval and indexing, morphology, biomedical applications, document processing, color analysis, texture analysis, motion analysis, surveillance and remote sensing, tracking, face detection and recognition, security systems, visual inspection....

During the past two decades there has been a considerable growth of interest in problems of pattern recognition. This interest has created an increasing need of methods for use in the design of pattern recognition systems. Many different approaches have been proposed and a number of books have been published. Applications of pattern recognition include character recognition, target detection and identification, medical diagnosis, analysis of biomedical signals and images, remote sensing, speech recognition and understanding, identification of human faces and fingerprints, reliability, industrial automation (machine part recognition and automatic inspection), socioeconomics, and archaeology. ...

An accompanying manual to Theodoridis/Koutroumbas, Pattern Recognition, that includes Matlab code of the most common methods and algorithms in the book, together with a descriptive summary and solved examples, and including real-life data sets in imaging and audio recognition. ...

0201029308This book was written to provide students, engineers, and scientists involved in pattern recognition, digital image processing, and artificial intelligence with a comprehensive introduction to the concepts and techniques of syntactic pattern recognition. ...

Presents an overview of current advances in the field and details the latest image processing algorithms and imaging systems for image recognition with diverse applications to the military, the transportation, aerospace, information security, and biomedical industries, radar systems, and image tracking systems. ...

This comprehensive and state-of-the art approach to image processing gives engineers and students a thorough introduction, and includes full coverage of key applications: image watermarking, fingerprint recognition, face recognition and iris recognition and medical imaging.

This book constitutes the refereed proceedings of the 32nd Symposium of the German Association for Pattern Recognition, DAGM 2010, held in Darmstadt, Germany, in September 2010. The 24 revised full papers and 34 revised poster papers were carefully reviewed and selected from 134 submissions. The papers are organized in topical sections on geometry and calibration, recognition, learning and optimization, applications, motion, low-level vision and features, as well as on surfaces and materials....