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This edited volume addresses a subject which has been discussed inten- sively in the computer vision community for several years. Performance characte...Savoir plus
In June 1998 the Fourth International Workshop on Digital Mammography was held in Nijmegen, The Netherlands, where it was hosted by the department of ...Savoir plus
Non-photorealistic rendering (NPR) is a combination of computer graphics and computer vision that produces renderings in various artistic, expressive ...Savoir plus
Sensor Geometry.- Geometry of a Class of Catadiopric Systems.- Unifying Image Plane Liftings for Central Catadioptric and Dioptric Cameras.- Geometric...Savoir plus
One of the most natural representations for modelling spatial objects in computers is discrete representations in the form of a 2D square raster and a...Savoir plus
This book presents a mathematical methodology for image analysis tasks at the edge of current research, including anisotropic diffusion filtering of t...Savoir plus
Many approaches have been proposed to solve the problem of finding the optic flow field of an image sequence. Three major classes of optic flow comput...Savoir plus
Motion-based recognition deals with the recognition of an object and/or its motion, based on motion in a series of images. In this approach, a sequenc...Savoir plus
Despite their novelty, wavelets have a tremendous impact on a number of modern scientific disciplines, particularly on signal and image analysis. Beca...Savoir plus
Many approaches have been proposed to solve the problem of finding the optic flow field of an image sequence. Three major classes of optic flow comput...Savoir plus
Mathematical morphology (MM) is a powerful methodology for the quantitative analysis of geometrical structures. It consists of a broad and coherent co...Savoir plus
The recent emergence of Local Binary Patterns (LBP) has led to significant progress in applying texture methods to various computer vision problems an...Savoir plus
This edited volume addresses a subject which has been discussed inten- sively in the computer vision community for several years. Performance characte...Savoir plus
The recent emergence of Local Binary Patterns (LBP) has led to significant progress in applying texture methods to various computer vision problems an...Savoir plus
Gaussian scale-space is one of the best understood multi-resolution techniques available to the computer vision and image analysis community. It is th...Savoir plus
A representation of objects by their parts is the dominant strategy for representing complex 3D objects in many disciplines. In computer vision and ro...Savoir plus
Landmarks are preferred image features for a variety of computer vision tasks such as image mensuration, registration, camera calibration, motion anal...Savoir plus
The past decades have seen significant improvements in 3D imaging where the related techniques and technologies have advanced to a mature state. These...Savoir plus
Mathematical morphology (MM) is a theory for the analysis of spatial structures. It is called morphology since it aims at analysing the shape and form...Savoir plus
Scale is a concept the antiquity of which can hardly be traced. Certainly the familiar phenomena that accompany sc ale changes in optical patterns are...Savoir plus
Images and video play a crucial role in visual information systems and multimedia. There is an extraordinary number of applications of such systems in...Savoir plus
Gaussian scale-space is one of the best understood multi-resolution techniques available to the computer vision and image analysis community. It is th...Savoir plus
Scale is a concept the antiquity of which can hardly be traced. Certainly the familiar phenomena that accompany sc ale changes in optical patterns are...Savoir plus