Perceptual organization and visual recognition is a book by David G. Lowe that explores the field of computer vision. The book discusses the importance of perceptual organization in visual recognition, and how it can be used to recognize objects in images without the need for prior knowledge of depth or surface orientation. The book also discusses the significance of image relations, and how they can be used to limit computational complexity. It also covers the segmentation of image curves, and the importance of perceptual organization in this process. The book is part of the Kluwer International Series in Engineering and Computer Science, and is written for a wide range of interdisciplinary readers. The book is written in plain language and attempts to explain most concepts from the starting position of the non-specialist. The book is based on research performed over a period of six years, both while the author was pursuing his graduate training at Stanford University and recently while he has been at the Courant Institute of Mathematics at New York University. The book is a summary of this research, and includes contributions from many people who have helped in the research. The book is written by David G. Lowe, and is part of the Kluwer International Series in Engineering and Computer Science. The book is a contribution to the field of computer vision, and provides a computational understanding of human vision. The book is written in plain language and is accessible to a wide range of interdisciplinary readers. The book is a summary of research performed over a period of six years, and includes contributions from many people who have helped in the research. The book is written by David G. Lowe, and is part of the Kluwer International Series in Engineering and Computer Science. The book is a contribution to the field of computer vision, and provides a computational understanding of human vision. The book is written in plain language and is accessible to a wide range of interdisciplinary readers.Perceptual organization and visual recognition is a book by David G. Lowe that explores the field of computer vision. The book discusses the importance of perceptual organization in visual recognition, and how it can be used to recognize objects in images without the need for prior knowledge of depth or surface orientation. The book also discusses the significance of image relations, and how they can be used to limit computational complexity. It also covers the segmentation of image curves, and the importance of perceptual organization in this process. The book is part of the Kluwer International Series in Engineering and Computer Science, and is written for a wide range of interdisciplinary readers. The book is written in plain language and attempts to explain most concepts from the starting position of the non-specialist. The book is based on research performed over a period of six years, both while the author was pursuing his graduate training at Stanford University and recently while he has been at the Courant Institute of Mathematics at New York University. The book is a summary of this research, and includes contributions from many people who have helped in the research. The book is written by David G. Lowe, and is part of the Kluwer International Series in Engineering and Computer Science. The book is a contribution to the field of computer vision, and provides a computational understanding of human vision. The book is written in plain language and is accessible to a wide range of interdisciplinary readers. The book is a summary of research performed over a period of six years, and includes contributions from many people who have helped in the research. The book is written by David G. Lowe, and is part of the Kluwer International Series in Engineering and Computer Science. The book is a contribution to the field of computer vision, and provides a computational understanding of human vision. The book is written in plain language and is accessible to a wide range of interdisciplinary readers.