Издательство InTech, 2012, -284 pp.Vision plays a fundamental role for living beings by allowing them to interact with the environment in an effective and efficient way. The Machine Vision goal is to endow computing devices, and more generally artificial systems, with visual capabilities in order to cope with not a priori predetermined situations. To this end, we have to take into account the computing constraints of the hosting architectures and the specifications of the tasks to be accomplished. These elements lead a continuous adaptation and optimization of the usual visual processing techniques, such as ones developed in Computer Vision and Image Processing. Nevertheless, the fast development of off‐the‐shelf processors and computing devices made available to the public a large and low‐cost computational power. By exploiting this contingency, the Vision Research community is now ready to develop real‐time vision systems designed to analyze the richness of the visual signal online with the evolution of complex real‐world situations at an affordable cost. Thus the application field of Machine Vision is not more limited to the industrial environments, where the situations are simplified and well known and the tasks are very specific, but nowadays it can efficiently support system solutions of everyday life problems. This book will focus on both the engineering and technological aspects related to visual processing.Bio-Inspired Active Vision Paradigms in Surveillance Applications Stereo Matching Method and Height Estimation for Unmanned Helicopter Fast Computation of Dense and Reliable Depth Maps from Stereo Images Real-Time Processing of 3D-TOF Data in Machine Vision Applications Rotation Angle Estimation Algorithms for Textures and Their Implementations on Real Time Systems Characterization of the Surface Finish of Machined Parts Using Artificial Vision and Hough Transform Methods for Ellipse Detection from Edge Maps of Real Images Detection and Pose Estimation of Piled Objects Using Ensemble of Tree Classifiers Characterization of Complex Industrial Surfaces with Specific Structured Patterns Discontinuity Detection from Inflection of Otsu’s Threshold in Derivative of Scale-Space Reflectance Modeling in Machine Vision: Applications in Image Analysis and Synthesis Towards the Optimal Hardware Architecture for Computer Vision
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