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» 3D and Appearance Modeling from Images
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CVPR
2012
IEEE
13 years 4 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 ...
CVPR
2010
IEEE
15 years 9 months ago
Estimating Camera Pose from a Single Urban Ground-View Omnidirectional Image and a 2D Building Outline Map
A framework is presented for estimating the pose of a camera based on images extracted from a single omnidirectional image of an urban scene, given a 2D map with building outlines...
Tat-Jen Cham, Ciptadi Arridhana, Wei-Chian Tan, Mi...
ICPR
2004
IEEE
16 years 2 months ago
Selecting Models from Videos for Appearance-Based Face Recognition
In this paper, we propose an unsupervised approach to select representative face samples (models) from raw videos and build an appearance-based face recognition system. The approa...
Abdenour Hadid, Matti Pietikäinen
ICPR
2008
IEEE
16 years 2 months ago
Parametric video compression using appearance space
The novelty of the approach presented in this paper is the unique object-based video coding framework for videos obtained from a static camera. As opposed to most existing methods...
Santanu Chaudhury, Subarna Tripathi, Sumantra Dutt...
CVPR
2009
IEEE
16 years 8 months ago
A Robust Approach for Automatic Registration of Aerial Images with Untextured Aerial LiDAR Data
Airborne LiDAR technology draws increasing interest in large-scale 3D urban modeling in recent years. 3D Li- DAR data typically has no texture information. To generate photo-rea...
Lu Wang, Ulrich Neumann