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» From Structure-from-Motion Point Clouds to Fast Location Rec...
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CVPR
2009
IEEE
14 years 10 months ago
From Structure-from-Motion Point Clouds to Fast Location Recognition
Efficient view registration with respect to a given 3D reconstruction has many applications like inside-out tracking in indoor and outdoor environments, and geo-locating images ...
Arnold Irschara (Graz University of Technology), C...
ECCV
2008
Springer
14 years 5 months ago
Segmentation and Recognition Using Structure from Motion Point Clouds
We propose an algorithm for semantic segmentation based on 3D point clouds derived from ego-motion. We motivate five simple cues designed to model specific patterns of motion and 3...
Gabriel J. Brostow, Jamie Shotton, Julien Fauqueur...
CVPR
2012
IEEE
11 years 6 months ago
Semantic structure from motion with points, regions, and objects
Structure from motion (SFM) aims at jointly recovering the structure of a scene as a collection of 3D points and estimating the camera poses from a number of input images. In this...
Sid Ying-Ze Bao, Mohit Bagra, Yu-Wei Chao, Silvio ...
ECCV
2010
Springer
13 years 4 months ago
Location Recognition Using Prioritized Feature Matching
We present a fast, simple location recognition and image localization method that leverages feature correspondence and geometry estimated from large Internet photo collections. Suc...
Yunpeng Li, Noah Snavely, Daniel P. Huttenlocher
CVPR
2004
IEEE
14 years 5 months ago
Reconstructing Open Surfaces from Unorganized Data Points
In this paper a method for fitting open surfaces to an unorganized set of data points is presented using a level set representation of the surface. This is done by tracking a curv...
Jan Erik Solem, Anders Heyden