In the areas of image processing and computer vision, there is a particular need for software that can infer the three-dimensional shape of a scene. This book describes the analytical processes that go into designing such software. It also presents original algorithms.
This book provides an introduction to the foundations of three-dimensional computer vision and describes recent contributions to the field. It examines three-dimensional scene analysis and surface reconstruction, pose estimation, and motion analysis.
In its revised and updated new edition, this book introduces the foundations of three-dimensional computer vision and surveys recent innovations. Describes applications in industrial quality inspection and metrology, human-robot interaction and remote sensing.
The reliable detection of low-level image structures is an old and still challenging problem in computer vision. This book leads a detailed tour through the LSD algorithm, a line segment detector desi ...
Diminished Reality is a new fascinating technology that removes real-world content from live video streams. This sensational live video manipulation actually removes real objects and generates a coher ...
The present book contains extended versions of papers presented in the Conference VIPIMAGE 2007 – ECCOMAS Thematic Conference on Computational Vision and Medical Image. This ECCOMAS thematic conference was on computational vision and medical image processing.
This book constitutes the referred proceedings of the 8th China Conference on Image and Graphics Technologies and Applications, IGTA 2014, held in Beijing, China, in June 2014. The 39 papers presented ...
This book addresses monitoring of people and vehicles and detection of threatening objects and events in a variety of scenarios. It discusses and proposes techniques for the development of an automated multi-camera surveillance system.
This book shows how to use the CGAL two-dimensional arrangement package, first using small example programs, then describing programs for solving real-world problems. Later chapters are dedicated to large-scale applications written on top of CGAL arrangements.
This book surveys algorithms used in Chinese handwriting recognition, covering celebrated methods and new scalable approaches, guidelines for sample collection, novel recognition paradigms, distributed discriminative learning, distributed estimation and more.