This fully updated second edition reflects the significant changes in process chemistry since the first edition and includes more common process issues such as safety, cost, robustness, and environmental impact. Some areas have made notable progress such as process safety, stereochemistry, new reagents and reagent surrogates. Forty years ago there were few process research and development activities in the pharmaceutical industry, partly due to the simplicity of drug molecules. With increasing structural complexity especially the introduction of chiral centers into drug molecules and stricter regulations, process R&D has become one of the critical departments for pharmaceutical companies. This unique volume now in its second edition is designed to provide readers with an unprecedented strategy and approach which will help chemists and graduate students develop chemical processes in an efficient manner Promotes an industrial mindset concerning safety and commercial viability when developing methods The author discusses development strategies with case studies and experimental procedures Focuses on mechanism-guided process development which provides readers with practical strategies and approaches Addresses more common process issues such as safety, cost, robustness, and environmental impact.

Face recognition has been actively studied over the past decade and continues to be a big research challenge. Just recently, researchers have begun to investigate face recognition under unconstrained conditions. Unconstrained Face Recognition provides a comprehensive review of this biometric, especially face recognition from video, assembling a collection of novel approaches that are able to recognize human faces under various unconstrained situations. The underlying basis of these approaches is that, unlike conventional face recognition algorithms, they exploit the inherent characteristics of the unconstrained situation and thus improve the recognition performance when compared with conventional algorithms.

Unconstrained Face Recognition is structured to meet the needs of a professional audience of researchers and practitioners in industry. This volume is also suitable for advanced-level students in computer science.

This book constitutes the refereed proceedings of the Third International Workshop on Analysis and Modelling of Faces and Gestures, AMFG 2007, held in Rio de Janeiro, Brazil, in October 2007 within the scope of ICCV 2007, the International Conference on Computer Vision.

The 8 revised full papers presented together with 13 revised poster papers were carefully reviewed and selected from 55 submissions. The papers review the status of recognition, analysis and modeling of face, gesture, activity, and behavior. Topics addressed include feature representation, 3D face, robust recognition under pose and illumination variations, video-based face recognition, learning, facial motion analysis, body pose estimation, and sign recognition.

Face recognition has been actively studied over the past decade and continues to be a big research challenge. Just recently, researchers have begun to investigate face recognition under unconstrained conditions. Unconstrained Face Recognition provides a comprehensive review of this biometric, especially face recognition from video, assembling a collection of novel approaches that are able to recognize human faces under various unconstrained situations. The underlying basis of these approaches is that, unlike conventional face recognition algorithms, they exploit the inherent characteristics of the unconstrained situation and thus improve the recognition performance when compared with conventional algorithms.

Unconstrained Face Recognition is structured to meet the needs of a professional audience of researchers and practitioners in industry. This volume is also suitable for advanced-level students in computer science.

During the last 30 years, face recognition and related problems such as face detection/tracking and facial expression recognition have attracted researchers from both the engineering and psychology communities. In addition, extensive research has been carried out to study hand and body gestures. The understanding of how humans perceive these important cues has significant scientific value and extensive applications. For example, human-computer interaction, visual surveillance, and smart video indexing are active application areas. Aiming towards putting such amazing perception capability onto computer systems, researchers have made substantial progress. However, technological challenges still exist in many aspects. Following a format similar to the IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG) 2003, this one-day workshop (AMFG 2005) provided a focused international forum to bring together well-known researchers and research groups to review the status of recognition, analysis and modeling of faces and gestures, to discuss the challenges that we are facing, and to explore future directions. Overall, 30 papers were selected from 90 submitted manuscripts. The topics of these papers range from feature representation, robust recognition, learning, and 3D modeling to psychology. In addition, two invited talks were given, by Prof. Kanade and Dr. Phillips. The technical program was organized into four oral sessions and two poster sessions. This workshop would not have been possible without the timely reviews provided by the members of the Technical Program Committee under a tight schedule. October 2005 Wenyi Zhao Shaogang Gong Xiaoou Tang