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» Fully Automatic Registration of 3D Point Clouds
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FGR
2008
IEEE
358views Biometrics» more  FGR 2008»
15 years 6 months ago
Automatic 3D face reconstruction from single images or video
This paper presents a fully automated algorithm for reconstructing a textured 3D model of a face from a single photograph or a raw video stream. The algorithm is based on a combin...
Pia Breuer, Kwang In Kim, Wolf Kienzle, Bernhard S...
CVPR
2008
IEEE
16 years 1 months ago
3D surface models by geometric constraints propagation
This paper proposes a technique for estimating piecewise planar models of objects from their images and geometric constraints. First, assuming a bounded noise in the localization ...
Michela Farenzena, Andrea Fusiello
GIS
2009
ACM
15 years 3 months ago
Next generation map making: geo-referenced ground-level LIDAR point clouds for automatic retro-reflective road feature extractio
This paper presents a novel method to process large scale, ground level Light Detection and Ranging (LIDAR) data to automatically detect geo-referenced navigation attributes (traf...
Xin Chen, Brad Kohlmeyer, Matei Stroila, Narayanan...
ECCV
2008
Springer
16 years 1 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...
FGR
2006
IEEE
171views Biometrics» more  FGR 2006»
15 years 5 months ago
Automatic Feature Extraction for Multiview 3D Face Recognition
Current 2D face recognition systems encounter difficulties in recognizing faces with large pose variations. Utilizing the pose-invariant features of 3D face data has the potentia...
Xiaoguang Lu, Anil K. Jain