Computer Vision — ECCV ’92 : Second European Conference on Computer Vision Santa Margherita Ligure, Italy, May 19–22, 1992 Proceedings. 1st ed. 1992
- 種類:
- 電子ブック
- 責任表示:
- edited by Giulio Sandini
- 出版情報:
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1992
- 著者名:
- シリーズ名:
- Lecture Notes in Computer Science ; 588
- ISBN:
- 9783540470694 [3540470697]
- 注記:
- Steerable-scalable kernels for edge detection and junction analysis -- Families of tuned scale-space kernels -- Contour extraction by mixture density description obtained from region clustering -- The Möbius strip parameterization for line extraction -- Edge tracing in a priori known direction -- Features extraction and analysis methods for sequences of ultrasound images -- Figure-ground discrimination by mean field annealing -- Deterministic pseudo-annealing: Optimization in Markov-Random-Fields an application to pixel classification -- A Bayesian multiple hypothesis approach to contour grouping -- Detection of general edges and keypoints -- Distributed belief revision for adaptive image processing regulation -- Finding face features -- Detection of specularity using color and multiple views -- Data and model-driven selection using color regions -- Recovering shading from color images -- Shading flows and scenel bundles: A new approach to shape from shading -- Texture: Plus ça change, ... -- Texture parametr
This volume collects the papers accepted for presentation at the Second European Conference on Computer Vision, held in Santa Margherita Ligure, Italy, May 19-22, 1992. Sixteen long papers, 41 short papers and 48 posters were selected from 308 submissions. The contributions are structured into 14 sections reflecting the major research topics in computer vision currently investigated worldwide. The sections are entitled: features, color, calibration and matching, depth, stereo-motion, tracking, active vision, binocular heads, curved surfaces and objects, reconstruction and shape, recognition, and applications. - ローカル注記:
- 学内専用E-BOOKS (local access only)
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