Computer vision - ECCV '94 : Third European Conference on Computer Vision, Stockholm, Sweden, May 2 6, 1994 : proceedings volume II
The European Conference on Computer Vision (ECCV) has established itself as a major event in this exciting and very active field of research. This two-volume proceedings collects the 115 papers accepted for presentation at the 3rd ECCV, held in Stockholm in May 1994. The papers were selected from ov...
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| Autor corporatiu: | |
|---|---|
| Altres autors: | |
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Col·lecció: | Lecture notes in computer science
801 |
| Matèries: | |
| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Computer Vision - ECCV '94, Texte imprimé, 9783540579571 • Computer Vision - ECCV '94, Texte imprimé, 9783662213636 |
Taula de continguts:
- Active object recognition integrating attention and viewpoint control
- Active 3D object recognition using 3D affine invariants
- Grasping the apparent contour
- Visual tracking of high DOF articulated structures: An application to human hand tracking
- Integration and control of reactive visual processes
- Motion estimation on the essential manifold
- Motion from point matches using affine epipolar geometry
- Navigation using affine structure from motion
- A paraperspective factorization method for shape and motion recovery
- Active camera self-orientation using dynamic image parameters
- Planning the optimal set of views using the Max-Min principle
- On perceptual advantages of eye-head active control
- Improving registration of 3-D medical images using a mechanical based method
- Non-iterative contextual correspondence matching
- A registration method for rigid objects without point matching
- Non-parametric local transforms for computing visual correspondence
- Measuring the affinetransform using gaussian filters
- Extracting the affine transformation from texture moments
- Lack-of-fit detection using the run-distribution test
- Disparity-space images and large occlusion stereo
- Registration of a curve on a surface using differential properties
- Genetic algorithms applied to binocular stereovision
- Segmentation of echocardiographic images with Markov random fields
- Unsupervised regions segmentation: Real time control of an upkeep machine of natural spaces
- Synchronous image restoration
- Parameterfree information-preserving surface restoration
- Spatially varying illumination: A computational model of converging and diverging sources
- Recovery of illuminant and surface colors from images based on the CIE daylight
- 3-D stereo using photometric ratios
- Shape from shading: Provably convergent algorithms and uniqueness results
- Seeing beyond Lambert's law
- Using 3-dimensional meshes to combine image-based and geometry-based constraints
- Determination ofoptical flow and its discontinuities using non-linear diffusion
- Motion boundary detection in image sequences by local stochastic tests
- Segmentation of moving objects by robust motion parameter estimation over multiple frames
- Stochastic motion clustering
- Association of motion verbs with vehicle movements extracted from dense optical flow fields
- Comparisons of probabilistic and non-probabilistic hough transforms
- Markov random field models in computer vision
- The role of key-points in finding contours
- A framework for low level feature extraction
- Rigid and affine registration of smooth surfaces using differential properties
- The quadric reference surface: Applications in registering views of complex 3D objects
- Relative 3D regularized B-spline surface reconstruction through image sequences
- Intrinsic stabilizers of planar curves
- Affine and projective normalization of planar curves and regions
- Area and length preserving geometric invariant scale-spaces
- Invariants of 6 points from 3 uncalibrated images
- A common framework for kinetic depth, reconstruction and motion for deformable objects.