Object Representation in Computer Vision II: ECCV '96 International Workshop, Cambridge, UK, April 13 - 14, 1996. ProceedingsSpringer Science & Business Media, 1996 M09 25 - 401 páginas This book constitutes the strictly refereed post-workshop proceedings of the second International Workshop on Object Representation in Computer Vision, held in conjunction with ECCV '96 in Cambridge, UK, in April 1996. The 15 revised full papers contained in the book were selected from 45 submissions for presentation at the workshop. Also included are three invited contributions based on the talks by Takeo Kanade, Jan Koenderink, and Ram Nevatia as well as a workshop report by the volume editors summarizing several panel discussions and the general state of the art in the area. |
Contenido
Report on the 1996 International Workshop on Object Representation in Computer Vision | |
Geometric and Topological Representations | 7 |
From an Intensity Image to 3D Segmented Descriptions1 | 9 |
Recovering Generalized Cylinders by Monocular Vision | 23 |
Combinatorial Geometry for Shape Representation and Indexing | 51 |
Representing Objects Using Topology | 77 |
Curvature Based Signatures for Object Description and Recognition | 107 |
On 3D Shape Synthesis | 129 |
Learning Appearance Models for Object Recognition | 199 |
An Image Oriented CAD Approach | 219 |
An Experimental Comparison of Appearance and Geometric Model Based Recognition | 245 |
Being Mobile in a Visual Scene | 271 |
Generic Shape Learning and Recognition | 285 |
A Hybrid Approach to 3D Representation | 319 |
Finding Pictures of Objects in Large Collections of Images | 333 |
Further Properties of the RO Mapping and Their Applications | 359 |
AppearanceBased Representations | 147 |
Shape Constancy in Pictorial Relief | 149 |
Dimensionality of Illumination Manifolds in Appearance Matching | 163 |
Learning Object Representations from Lighting Variations | 177 |
NonEuclidean Object Representations for CalibrationFree Video Overlay | 379 |
| 401 | |
Otras ediciones - Ver todas
Object Representation in Computer Vision II Jean Ponce,Andrew Zisserman,Martial Hebert Sin vista previa disponible - 2014 |
Términos y frases comunes
3D object 3D shape albedo algorithm angle approach Artificial Intelligence axis boundary BSpline camera complex Computer Vision constraint contour convex hull coordinates corresponding covariance covariance matrix cross-section curvature distribution curve cylinders database DeCov defined described edgel edges eigenspace estimate example extracted Figure function Gaussian Gaussian curvature geometric grouping hierarchy Hough space Hough transform hypothesis IEEE illumination manifold image features invariant Koenderink Lambertian Lambertian reflectance light source line segments linear linear transformation mapping matching matrix method metric model graph model images Nevatia node object recognition object representation occlusion orientation pair parameters perspective projection pixels planar plane pose position Proc Proceedings projection properties recognition system recognized reconstruction regions retrieval rotation scale scene shape description shown superquadric surface normal surface patches tangent texture tion topological training images values vector vertex vertices viewpoint virtual objects virtualized reality visual
Pasajes populares
Página 399 - An automatic registration method for frameless stereotaxy, image guided surgery, and enhanced reality visualization,
Página 360 - Taubin, G. and Cooper, DB (1992) "Object recognition based on moment (or algebraic) invariants," in JL Mundy and AP Zisserman (ed.s) Geometric Invariance in Computer Vision, MIT Press.