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ECCV
2008
Springer
16 years 3 months ago
Object Detection from Large-Scale 3D Datasets Using Bottom-Up and Top-Down Descriptors
We propose an approach for detecting objects in large-scale range datasets that combines bottom-up and top-down processes. In the bottom-up stage, fast-to-compute local descriptors...
Alexander Patterson, Philippos Mordohai, Kostas Da...
ICRA
2009
IEEE
137views Robotics» more  ICRA 2009»
15 years 8 months ago
Unsupervised learning of 3D object models from partial views
— We present an algorithm for learning 3D object models from partial object observations. The input to our algorithm is a sequence of 3D laser range scans. Models learned from th...
Michael Ruhnke, Bastian Steder, Giorgio Grisetti, ...
3DIM
1999
IEEE
15 years 6 months ago
Large Data Sets and Confusing Scenes in 3-D Surface Matching and Recognition
In this paper, we report on recent extensions to a surface matching algorithm based on local 3-D signatures. This algorithm was previously shown to be effective in view registrati...
Owen T. Carmichael, Daniel F. Huber, Martial Heber...
FGR
2008
IEEE
232views Biometrics» more  FGR 2008»
15 years 8 months ago
3D face recognition from multiple images: A shape-from-motion approach
In this article we explore the use of methodologies for 3D reconstruction from multiple images to recognize faces. We try to devise a strategy to tackle the problem of recognizing...
Manuel Marques, João Costeira
ECCV
2002
Springer
16 years 3 months ago
On Pencils of Tangent Planes and the Recognition of Smooth 3D Shapes from Silhouettes
This paper presents a geometric approach to recognizing smooth objects from their outlines. We define a signature function that associates feature vectors with objects and baseline...
Svetlana Lazebnik, Amit Sethi, Cordelia Schmid, Da...