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» Learning Iterative Image Reconstruction
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BDA
2007
14 years 11 months ago
Hyperplane Queries in a Feature-Space M-tree for Speeding up Active Learning
In content-based retrieval, relevance feedback (RF) is a noticeable method for reducing the “semantic gap” between the low-level features describing the content and the usually...
Michel Crucianu, Daniel Estevez, Vincent Oria, Jea...
SIAMIS
2011
14 years 4 months ago
Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
Matthias W. Seeger, Hannes Nickisch
CW
2008
IEEE
15 years 4 months ago
Automatic Surface Scanning of 3D Artifacts
—This paper describes an automatic 3D surface scanning technique using a 3D scanner. It allows the acquisition of a complete surface model of a 3D artifact without any manual reg...
Shiaofen Fang, Basil George, Mathew Palakal
ICRA
2007
IEEE
225views Robotics» more  ICRA 2007»
15 years 4 months ago
Accurate Quadrifocal Tracking for Robust 3D Visual Odometry
— This paper describes a new image-based approach to tracking the 6dof trajectory of a stereo camera pair using a corresponding reference image pairs instead of explicit 3D featu...
Andrew I. Comport, Ezio Malis, Patrick Rives
ECCV
2002
Springer
15 years 11 months ago
Assorted Pixels: Multi-sampled Imaging with Structural Models
Abstract. Multi-sampled imaging is a general framework for using pixels on an image detector to simultaneously sample multiple dimensions of imaging (space, time, spectrum, brightn...
Shree K. Nayar, Srinivasa G. Narasimhan