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ICCV
2009
IEEE
15 years 14 days ago
Dimensionality Reduction and Principal Surfaces via Kernel Map Manifolds
We present a manifold learning approach to dimensionality reduction that explicitly models the manifold as a mapping from low to high dimensional space. The manifold is represen...
Samuel Gerber, Tolga Tasdizen, Ross Whitaker
CVPR
1996
IEEE
14 years 9 months ago
MUSE: Robust Surface Fitting using Unbiased Scale Estimates
Despite many successful applications of robust statistics, they have yet to be completely adapted to many computer vision problems. Range reconstruction, particularly in unstructu...
James V. Miller, Charles V. Stewart
ECCV
2004
Springer
14 years 9 months ago
Structure and Motion from Images of Smooth Textureless Objects
This paper addresses the problem of estimating the 3D shape of a smooth textureless solid from multiple images acquired under orthographic projection from unknown and unconstrained...
Yasutaka Furukawa, Amit Sethi, Jean Ponce, David J...
CAMP
2005
IEEE
13 years 9 months ago
An Open System for 3D Data Acquisition from Multiple Sensor
Abstract— This paper describes a work in progress on a multisensor system for 3D data acquisition. The system core structure is a 3D-range scan based on the well known active tri...
Francesco Isgrò, Francesca Odone, Alessandr...
ECCV
1994
Springer
14 years 9 months ago
Using 3-Dimensional Meshes To Combine Image-Based and Geometry-Based Constraints
A uni ed framework for 3 D shape reconstruction allows us to combine image-based and geometry-based information sources. The image information is akin to stereo and shape-fromshad...
Pascal Fua, Yvan G. Leclerc