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» Semi-automated 3-D Building Extraction from Stereo Imagery
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CVPR
2009
IEEE
15 years 1 months ago
D - Clutter: Building object model library from unsupervised segmentation of cluttered scenes
Autonomous systems which learn and utilize a limited visual vocabulary have wide spread applications. Enabling such systems to segment a set of cluttered scenes into objects is ...
Chandra Kambhamettu, Dimitris N. Metaxas, Gowri So...
IROS
2007
IEEE
156views Robotics» more  IROS 2007»
14 years 1 months ago
Learning maps in 3D using attitude and noisy vision sensors
— In this paper, we address the problem of learning 3D maps of the environment using a cheap sensor setup which consists of two standard web cams and a low cost inertial measurem...
Bastian Steder, Giorgio Grisetti, Slawomir Grzonka...
COMPGEOM
2009
ACM
14 years 1 months ago
High resolution surface reconstruction from overlapping multiple-views
Extracting a computer model of a real scene from a sequence of views, is one of the most challenging and fundamental problems in computer vision. Stereo vision algorithms allow us...
Nader Salman, Mariette Yvinec
IJCV
2007
147views more  IJCV 2007»
13 years 7 months ago
Vision-Based SLAM: Stereo and Monocular Approaches
Building a spatially consistent model is a key functionality to endow a mobile robot with autonomy. Without an initial map or an absolute localization means, it requires to concurr...
Thomas Lemaire, Cyrille Berger, Il-Kyun Jung, Simo...
ICCV
1998
IEEE
14 years 9 months ago
Modeling Geometric Structure and Illumination Variation of a Scene from Real Images
We present in this paper a system which automatically builds, from real images, a scene model containing both 3D geometric information of the scene structure and its photometric...
Zhengyou Zhang