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» From Contours to 3D Object Detection and Pose Estimation
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CVPR
2008
IEEE
14 years 10 months ago
Automatic registration of aerial imagery with untextured 3D LiDAR models
A fast 3D model reconstruction methodology is desirable in many applications such as urban planning, training, and simulations. In this paper, we develop an automated algorithm fo...
Min Ding, Kristian Lyngbaek, Avideh Zakhor
ICRA
2005
IEEE
120views Robotics» more  ICRA 2005»
14 years 2 months ago
Complex Objects Pose Estimation based on Image Moment Invariants
— Moments are generic (and usually intuitive) descriptors that can be computed from several kinds of objects defined either from closed contours or from a set of points. In this...
Omar Tahri, François Chaumette
SIP
2003
13 years 10 months ago
Object Structure from Noisy Images
We describe the establishment of a compound object model for object recognition purposes which provides the frame for the extraction of object structure from images degraded by no...
Gabriele Peters
ECCV
2006
Springer
14 years 10 months ago
Feature Harvesting for Tracking-by-Detection
We propose a fast approach to 3?D object detection and pose estimation that owes its robustness to a training phase during which the target object slowly moves with respect to the ...
Mustafa Özuysal, Vincent Lepetit, Franç...
CVPR
2008
IEEE
14 years 8 months ago
Real-Time Face Pose Estimation from Single Range Images
We present a real-time algorithm to estimate the 3D pose of a previously unseen face from a single range im- age. Based on a novel shape signature to identify noses in range ima...
Michael D. Breitenstein, Daniel Küttel, Thiba...