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» Testing of Image Processing Algorithms on Synthetic Data
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ICML
2006
IEEE
16 years 5 months ago
Combined central and subspace clustering for computer vision applications
Central and subspace clustering methods are at the core of many segmentation problems in computer vision. However, both methods fail to give the correct segmentation in many pract...
Le Lu, René Vidal
ICIP
1998
IEEE
16 years 5 months ago
A Combinatorical Approach to Vector Tomography for Doppler Spectral Data
Velocity spectra of a flow can be made by ultrasound Doppler measurements. Using only part of the information in these spectra, it is possible to reconstruct the solenoid part and...
Kent Stråhlén
3DIM
1997
IEEE
15 years 8 months ago
Registration and Integration of Textured 3-D Data
In general, multiple views are required to create a complete 3-D model of an object or of a multi-roomed indoor scene. In this work, we address the problem of merging multiple tex...
Andrew Edie Johnson, Sing Bing Kang
ICIP
2003
IEEE
16 years 5 months ago
A refined ICP algorithm for robust 3-D correspondence estimation
Robust registration of two 3-D point sets is a common problem in computer vision. The Iterative Closest Point (ICP) algorithm is undoubtedly the most popular algorithm for solving...
Heinrich Niemann, Jochen Schmidt, Timo Zinße...
ICASSP
2009
IEEE
15 years 2 months ago
Ensembles of landmark multidimensional scalings
Landmark multidimensional scaling (LMDS) uses a subset of data (landmark points) to solve classical MDS, where the scalability is increased but the approximation is noise-sensitiv...
Seunghak Lee, Seungjin Choi