Category Archives: Computer Vision

Markov Random Field Modeling in Image Analysis (Advances in Pattern Recognition)

Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables systematic development of optimal vision algorithms when used with optimization principles. This detailed and thoroughly enhanced third edition presents a comprehensive … Continue reading

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Parallel Coordinates: Visual Multidimensional Geometry and Its Applications

This book is about visualization, systematically incorporating the fantastic humanpattern recognition into the problem-solving process, andfocusing on parallel coordinates. The barrier, imposed by ourthree-dimensional habitation and perceptual experience, has been breachedby thisinnovative and versatilemethodology. The accurate visualization ofmultidimensional problems and … Continue reading

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Line Drawing Interpretation

The computer interpretation of line drawings is a classic problem in AI and has inspired the development of some fundamental AI tools. This novel approach to drawing interpretation combines new constraints with recent advances in soft constraint programming, Based on … Continue reading

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Learning OpenCV: Computer Vision with the OpenCV Library

“This library is useful for practitioners, and is an excellent tool for those entering the field: it is a set of computer vision algorithms that work as advertised.” -William T. Freeman, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of … Continue reading

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Computer Vision Systems: 6th International Conference on Computer Vision Systems, ICVS 2008 Santorini, Greece, May 12-15, 2008, Proceedings (Lecture Notes … Computer Science and General Issues)

This book constitutes the refereed proceedings of the 6th International Conference on Computer Vision Systems, ICVS 2008, held in Santorini, Greece, May 12-15, 2008. The 23 revised papers presented together with 30 poster presentations and 2 invited papers were carefully … Continue reading

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Embedded Computer Vision (Advances in Pattern Recognition)

Embedded Computer Vision, exemplified by the migration from powerful workstations to embedded processors in computer vision applications, is a new and emerging field that enables an associated shift in application development and implementation. This comprehensive volume brings together a wealth … Continue reading

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Computer Vision — ACCV 2007: 8th Asian Conference on Computer Vision, Tokyo, Japan, November 18-22, 2007, Proceedings, Part I (Lecture Notes in Computer … Vision, Pattern Recognition, and Graphics)

The two volume set LNCS 4843 and LNCS 4844 constitutes the refereed proceedings of the 8th Asian Conference on Computer Vision, ACCV 2007, held in Tokyo, Japan, in November 2007. The 46 revised full papers, 3 planary and invited talks, … Continue reading

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Interactive Curve Modeling: With Applications to Computer Graphics, Vision and Image Processing

Interactive curve modeling techniques and their applications are extremely useful in a number of academic and industrial settings, and specifically play a significant role in multidisciplinary problem solving, such as in font design, designing objects, CAD/CAM, medical operations, scientific data … Continue reading

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Multimodal Technologies for Perception of Humans: First International Evaluation Workshop on Classification of Events, Activities and Relationships, CLEAR … Vision, Pattern Recognition, and Graphics)

This book constitutes the thoroughly refereed post-proceedings of the First International CLEAR 2006 Evaluation Campaign and Workshop on Classification of Events, Activities and Relationships for evaluation of multimodal technologies for the perception of humans, their activities and interactions, held in … Continue reading

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Toward Category-Level Object Recognition (Lecture Notes in Computer Science / Image Processing, Computer Vision, Pattern Recognition, and Graphics)

Although research in computer vision for recognizing 3D objects in photographs dates back to the 1960s, progress was relatively slow until the turn of the millennium, and only now do we see the emergence of effective techniques for recognizing object … Continue reading

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