Computer Vision Research Progress

Front Cover
Nova Publishers, 2008 - Computers - 335 pages
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Computer vision is the science and technology of machines that see. As a scientific discipline, computer vision is concerned with the theory and technology for building artificial systems that obtain information from images. The image data can take many forms, such as a video sequence, views from multiple cameras, or multi-dimensional data from a medical scanner. As a technological discipline, computer vision seeks to apply the theories and models of computer vision to the construction of computer vision systems. Examples of applications of computer vision systems include systems for controlling processes (e.g. an industrial robot or an autonomous vehicle). Detecting events (e.g. for visual surveillance). Organizing information (e.g. for indexing databases of images and image sequences), Modeling objects or environments (e.g. industrial inspection, medical image analysis or topographical modeling), Interaction (e.g. as the input to a device for computer-human interaction). Computer vision can also be described as a complement (but not necessarily the opposite) of biological vision. In biological vision, the visual perception of humans and various animals are studied, resulting in models of how these systems operate in terms of physiological processes. Computer vision, on the other hand, studies and describes artificial vision system that are implemented in software and/or hardware. Interdisciplinary exchange between biological and computer vision has proven increasingly fruitful for both fields. Sub-domains of computer vision include scene reconstruction, event detection, tracking, object recognition, learning, indexing, ego-motion and image restoration. This new book presents leading-edge new research from around the world.
 

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Contents

APPLICATION OF STEREOCOMPUTER VISION TECHNIQUES TO HIGH SENSITIVITY MEASUREMENT OF SHAPE AND DEFORMATION ...
1
A FOLLOWUP OF IMAGE REGISTRATION TECHNIQUES FOR APPLICATION IN DIGITAL SUBTRACTION ANGIOGRAPHY
47
INTELLIGENT VIDEO ANALYSIS FOR TRAFFIC SURVEILLANCE BY PERCEPTUAL EDGE FEATURE GROUPING
83
ACCURATELY CALIBRATING THE IMAGE DISTORTION CENTERS OF RADIAL CAMERAS
109
TWIN OBJECTCENTERED MODELS FOR 3D RECONSTRUCTION
141
FAST FACE DETECTOR AND RECOGNITION FOR BIOMETRICAL SECURITY SYSTEMS
167
JOINT ROTATION SHIFT AND SCALE INVARIANT FEATURE EXTRACTION FOR CONTENTBASED IMAGE RETRIEVAL
185
APPLICATION OF COMPUTER VISION IN SHORTEST PATH PLANNING
213
OBJECT DETECTION AND TRACKING USING BAYESCONSTRAINED PARTICLE SWARM OPTIMIZATION
245
HEAD POSE ESTIMATION AND MULTIVIEW FACE RECOGNITION WITH NONLINEAR DIMENSIONALITY REDUCTION METHODS
261
EVIDENCEBASED PIXEL LABELING FOR COLOR IMAGE SEGMENTATION
279
EQUALITY FOR MANUFACTURING EQM USING INTERNETBASED COMPUTER VISION SYSTEM
297
EVALUATION AND ASSESSMENT OF RIGID AFFINE AND NONRIGID REGISTRATION TECHNIQUES APPLICATION TO XRAY ANGIOGR...
315
INDEX
327
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