Computer vision--ECCV '92 : Second European Conference on Computer Vision, Santa Margherita Ligure, Italy, May 19-22, 1992 : proceedings
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書誌事項
Computer vision--ECCV '92 : Second European Conference on Computer Vision, Santa Margherita Ligure, Italy, May 19-22, 1992 : proceedings
（Lecture notes in computer science, 588）
Springer-verlag, c1992
- : us
- : gw
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Includes bibliographical references and index
内容説明・目次
内容説明
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.
目次
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 Moebius 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 ca change, ....- Texture parametrization method for image segmentation.- Texture segmentation by minimizing vector-valued energy functionals: The Coupled-Membrane model.- Boundary detection in piecewise homogeneous textured images.- Surface orientation and time to contact from image divergence and deformation.- Robust and fast computation of unbiased intensity derivatives in images.- Testing computational theories of motion discontinuities: A psychophysical study.- Motion and structure factorization and segmentation of long multiple motion image sequences.- Motion and surface recovery using curvature and motion consistency.- Finding clusters and planes from 3D line segments with application to 3D motion determination.- Hierarchical model-based motion estimation.- A fast method to estimate sensor translation.- Identifying multiple motions from optical flow.- A fast obstacle detection method based on optical flow.- A parallel implementation of a structure-from-motion algorithm.- Structure from motion using the ground plane constraint.- Detecting and tracking multiple moving objects using temporal integration.- A study of affine matching with bounded sensor error.- Epipolar line estimation.- Camera calibration using multiple images.- Camera self-calibration: Theory and experiments.- Model-based object pose in 25 lines of code.- Image blurring effects due to depth discontinuitites: Blurring that creates emergent image details.- Ellipse based stereo vision.- Applying two-dimensional delaunay triangulation to stereo data interpolation.- Local stereoscopic depth estimation using ocular stripe maps.- Depth computations from polyhedral images.- Parallel algorithms for the distance transformation.- A computational framework for determining stereo correspondence from a set of linear spatial filters.- On visual ambiguities due to transparency in motion and stereo.- A deterministic approach for stereo disparity calculation.- Occlusions and binocular stereo.- Model-based object tracking in traffic scenes.- Tracking moving contours using energy-minimizing elastic contour models.- Tracking points on deformable objects using curvature information.- An egomotion algorithm based on the tracking of arbitrary curves.- Region-based tracking in an image sequence.- Combining intensity and motion for incremental segmentation and tracking over long image sequences.- Active egomotion estimation: A qualitative approach.- Active perception using DAM and estimation techniques.- Active/dynamic stereo for navigation.- Integrating primary ocular processes.- Where to look next using a Bayes net: Incorporating geometric relations.- An attentional prototype for early vision.- What can be seen in three dimensions with an uncalibrated stereo rig?.- Estimation of relative camera positions for uncalibrated cameras.- Gaze control for a binocular camera head.- Computing exact aspect graphs of curved objects: Algebraic surfaces.- Surface interpolation using wavelets.- Smoothing and matching of 3-D space curves.- Shape from texture for smooth curved surfaces.- Recognising rotationally symmetric surfaces from their outlines.- Using deformable surfaces to segment 3-D images and infer differential structures.- Finding parametric curves in an image.- Determining three-dimensional shape from orientation and spatial frequency disparities.- Using force fields derived from 3D distance maps for inferring the attitude of a 3D rigid object.- Segmenting unstructured 3D points into surfaces.- Finding the pose of an object of revolution.- Extraction of line drawings from gray value images by non-local analysis of edge element structures.- A method for the 3D reconstruction of indoor scenes from monocular images.- Active detection and classification of junctions by foveation with a head-eye system guided by the scale-space primal sketch.- A new topological classification of points in 3D images.- A theory of 3D reconstruction of heterogeneous edge primitives from two perspective views.- Detecting 3-D parallel lines for perceptual organization.- Integrated skeleton and boundary shape representation for medical image interpretation.- Critical sets for 3D reconstruction using lines.- Intrinsic surface properties from surface triangulation.- Edge classification and depth reconstruction by fusion of range and intensity edge data.- Image compression and reconstruction using a 1-D feature catalogue.- Canonical frames for planar object recognition.- Measuring the quality of hypotheses in model-based recognition.- Using automatically constructed view-independent relational model in 3D object recognition.- Learning to recognize faces from examples.- Face recognition through geometrical features.- Fusion through interpretation.- 3-D object recognition using passively sensed range data.- Interpretation of remotely sensed images in a context of multisensor fusion.- Limitations of non model-based recognition schemes.- Constraints for recognizing and locating curved 3D objects from monocular image features.- Polynomial-time object recognition in the presence of clutter, occlusion, and uncertainty.- Hierarchical shape recognition based on 3-D multiresolution analysis.- Object recognition by flexible template matching using genetic algorithms.- Matching and recognition of road networks from aerial images.- Intensity and edge-based symmetry detection applied to car-following.- Indexicality and dynamic attention control in qualitative recognition of assembly actions.- Real-time visual tracking for surveillance and path planning.- Spatio-temporal reasoning within a traffic surveillance system.- Template guided visual inspection.- Hardware support for fast edge-based stereo.
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