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Rating: 
Summary: A reference
Review: Caution !! this book does NOT contain an index !!Beside that, this book is a collection of papers, not for beginners.
You should first read Oshler's other book "Level Set Method and dynamic Imlict Surface" or the Sethian's original book. After reading these and you you still want more, then move to this book. This book contains plenty of imaging applications of Level Set Method. Including history of Snake Deform Method which is not mentioned in any other book. Many advantage techniques, enough 3D example, practical pseudo code, plenty of reference, will push you up to an expert of Level Set Method.
Rating:
Summary: A reference
Review: Caution !! this book does NOT contain an index !! Beside that, this book is a collection of papers, not for beginners.
You should first read Oshler's other book "Level Set Method and dynamic Imlict Surface" or the Sethian's original book. After reading these and you you still want more, then move to this book. This book contains plenty of imaging applications of Level Set Method. Including history of Snake Deform Method which is not mentioned in any other book. Many advantage techniques, enough 3D example, practical pseudo code, plenty of reference, will push you up to an expert of Level Set Method.
Rating: 
Summary: guide on the application of the level set method in vision
Review: In this volume various contributors demonstrate how efficient variational and level set methods can be in the domain of computer vision. A significant spectrum of applications are considered from well-known researchers of the domain (Osher, Terzopoulos, Faugeras, Grimson, Willsky, Sapiro, Vemuri, Rudin, Lions, etc.). The vision part is the strongest one, some applications on image processing and some topics on graphics are addressed. One criticism on the book is the absence of some contribution from Sethian's group one of the pioneers in domain. Other than that this book is a good guide to the level set methodology and its application in the processing of visual information and graphics. I can definitely recommend this book.
Rating:
Summary: an excellect collection of topics
Review: This book features a collection of approx. 15 different topics (often with more than one chapter per topic). Segentation, grouping and stereo are the most well addressed areas. There is some variation on the complexity of the chapters where in some cases a more in depth mathematical point of view is considered. The volume gives an idea on what level set methods can do in imaging, vision and graphics. I recommend this book to people who are interested in mathematics and vision. I think that is a good addition to the existing level set literature from the imaging, vision and graphics point. It focuses more on the application of this method to various topics.
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