BMVC91 Proceedings of the British Machine Vision Conference, organised for the British Machine Vision Association by the Turing Institute 24–26 September 1991 University of Glasgow

Lewis Carroll once wrote a story about a king who wanted a very accurate map of his kingdom. The king had a pathologically fastidious eye for detail and consequently decided that the map was to be produced at a scale of 1:1. The scribes dutifully set to and, in time, the map was made. The map carrie...

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Bibliographic Details
Other Authors: Mowforth, Peter (Editor)
Format: eBook
Language:English
Published: London Springer London 1991, 1991
Edition:1st ed. 1991
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
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100 1 |a Mowforth, Peter  |e [editor] 
245 0 0 |a BMVC91  |h Elektronische Ressource  |b Proceedings of the British Machine Vision Conference, organised for the British Machine Vision Association by the Turing Institute 24–26 September 1991 University of Glasgow  |c edited by Peter Mowforth 
250 |a 1st ed. 1991 
260 |a London  |b Springer London  |c 1991, 1991 
300 |a XV, 419 p. 127 illus  |b online resource 
505 0 |a Automated Analysis of Retinal Images -- Segmentation of MR Images Using Neural Nets -- Detecting and Classifying Intruders in Image Sequences -- Structure from Constrained Motion Using Point Correspondences -- Model-Based Tracking -- Local Method for Curved Edges and Corners -- The Kinematics and Eye Movements for a Two-Eyed Robot Head -- Colour and Texture Analysis for Automated Sorting of Eviscera -- Image Coding Based on Contour Models -- An Automated Approach to Stereo Matching Seasat Imagery -- Data Fusion Using an MLP -- Passive Estimation of Range to Objects from Image Sequences -- Imaging Polarimetry for Industrial Inspection -- Computing with Uncertainty: Intervals versus Probabilities -- Recognizing Parameterized Objects Using 3D Edges -- Optic Disk Boundary Detection -- Computation of Smoothed Local Symmetries on a MIMD Architecture -- Parameterising Images for Recognition and Reconstruction -- Kalman Filters in Constrained Model Based Tracking --  
505 0 |a Image Motion Analysis Made Simple and Fast, One Component at a Time -- Visual Modelling -- Distributed Dynamic Processing for Edge Detection -- Boundary Detection Using Bayesian Nets -- Parallel Implementation of Lagrangian Dynamics for Real-time Snakes -- Supervised Segmentation Using a Multi-resolution Data Representation -- 3D Grouping by Viewpoint Consistency Ascent -- A Trainable Method of Parametric Shape Description -- Using Projective Invariants for Constant Time Library Indexing in Model Based Vision -- Invariants of a Pair of Conics Revisited -- A Modal Approach to Feature-based Correspondence -- A Method of Obtaining the Relative Positions of 4 Points from 3 Perspective Projections -- Properties of Local Geometric Constraints -- Texture Boundary Detection — A Structural Approach -- The Inference of Structure in Images Using Multi-local Quadrature Filters -- Low-level Grouping of Straight Line Segments -- Connective Hough Transform --  
505 0 |a A Novel Approach to Motion Segmentation -- An Efficient and Robust Local Boundary Operator -- The Active Stereo Probe: Dynamic Video Feedback -- Design of an Anthropomorphic Robot Head -- A Monocular Ground Plane Estimation System -- Recognition with Second-Order Topographic Surface Features -- Heuristically Guided Polygon Finding -- The Amplification of Textural Differences -- Edge Labelling by Fusion of Intensity and Range Data -- Author Index 
505 0 |a Ellipse Detection and Matching with Uncertainty -- Cooperating Motion Processes -- Tracking Curved Objects by Perspective Inversion -- Optimal Surface Fusion -- Recursive Updating of Planar Motion -- A Fractal Shape Signature -- Locating Overlapping Flexible Shapes Using Geometrical Constraints -- Gaze Control for a Two-Eyed Robot Head -- Visual Evidence Accumulation in Radiograph Inspection -- A New Aproach to Active Illumination -- A Comparative Analysis of Algorithms for Determining the Peak Position of a Stripe to Sub-pixel Accuracy -- Synthetic Images of Faces — An Approach to Model-Based Face Recognition -- Finding Image Features Using Deformable Templates and Detailed Prior Statistical Knowledge -- Relational Model Construction and 3D Object Recognition from Single 2D Monochromatic Image -- Recognising Cortical Sulci and Gyri in MR Images -- Classification of Breast Tissue by Texture Analysis -- Model-Based Image Interpretation Using Genetic Algorithms --  
653 |a Signal, Image and Speech Processing 
653 |a Computer graphics 
653 |a Image Processing and Computer Vision 
653 |a Image processing 
653 |a Artificial Intelligence 
653 |a Computer Graphics 
653 |a Speech processing systems 
653 |a Artificial intelligence 
653 |a Signal processing 
653 |a Optical data processing 
041 0 7 |a eng  |2 ISO 639-2 
989 |b SBA  |a Springer Book Archives -2004 
856 4 0 |u https://doi.org/10.1007/978-1-4471-1921-0?nosfx=y  |x Verlag  |3 Volltext 
082 0 |a 621.382 
520 |a Lewis Carroll once wrote a story about a king who wanted a very accurate map of his kingdom. The king had a pathologically fastidious eye for detail and consequently decided that the map was to be produced at a scale of 1:1. The scribes dutifully set to and, in time, the map was made. The map carried details of every tree, every rock and every blade of grass throughout the entire land. The problem occurred when they tried to use -it. First of all, the map was extraordinarily difficult to open out and line up with the countryside. Its sheer bulk meant that it took whole armies to carry it and a great host of bureaucrats and technicians to maintain the information. Such was the detail of the map that as soon as the wind blew strongly, whole sections needed to be redrawn. What was worse was that all the farmers protested because the map completely cut out the light from the sun and all the crops died. Eventually the howls of protest became so strong that the king was forced to take action. He did away with the old paper copy and decided to use the kingdom itself as the map. All lived happily ever after. There are, at least, two morals to this tale. First, you are almost certainly doomed to failure if you do not get the representation of the problem right