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» Bayesian 3D Modeling from Images Using Multiple Depth Maps
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VIS
2004
IEEE
137views Visualization» more  VIS 2004»
15 years 11 months ago
Generating Realistic Images from Hydrothermal Plume Data
Most data used in the study of seafloor hydrothermal plumes consists of sonar (acoustic) scans and sensor readings. Visual data captures only a portion of the sonar data range due...
Deborah Silver, Jamshed Dastur, Karen G. Bemis, Kr...
BMVC
2010
14 years 7 months ago
Manifold Learning for ToF-based Human Body Tracking and Activity Recognition
In this paper, we propose a method for simultaneous human full-body pose tracking and activity recognition from time-of-flight (ToF) camera images. Simple and sparse depth cues ar...
Loren Arthur Schwarz, Diana Mateus, Victor Castane...
ICIP
2007
IEEE
15 years 4 months ago
Dynamic Audio-Visual Mapping using Fused Hidden Markov Model Inversion Method
Realistic audio-visual mapping remains a very challenging problem. Having short time delay between inputs and outputs is also of great importance. In this paper, we present a new ...
Le Xin, Jianhua Tao, Tieniu Tan
ICRA
2009
IEEE
166views Robotics» more  ICRA 2009»
15 years 4 months ago
Laser-based geometric modeling using cooperative multiple mobile robots
— In order to construct three-dimensional shape models of large-scale architectural structures using a laser range finder, a number of range images are taken from various viewpo...
Ryo Kurazume, Yusuke Noda, Yukihiro Tobata, Kai Li...
ECCV
2002
Springer
15 years 11 months ago
Learning Shape from Defocus
We present a novel method for inferring three-dimensional shape from a collection of defocused images. It is based on the observation that defocused images are the null-space of ce...
Paolo Favaro, Stefano Soatto