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Effective visualization of sparse image-to-image correspondences

Author
Andujar, C.; Chica, A.; Comino, M.
Type of activity
Presentation of work at congresses
Name of edition
22nd Eurographics Conference on Visualization
Date of publication
2020
Presentation's date
2020-05
Book of congress proceedings
EuroVis 2020, Eurographics / IEEE VGTC Conference on Visualization 2020: Norrköping, Sweden, May 25–29, 2020: short papers
First page
151
Last page
155
Publisher
European Association for Computer Graphics (Eurographics)
DOI
10.2312/evs.20201064
Project funding
Visualization, modeling, simulation and interaction with 3D models. Applications in life sciences and urban environments
Repository
http://hdl.handle.net/2117/189540 Open in new window
URL
https://diglib.eg.org/handle/10.2312/evs20201064 Open in new window
Abstract
Finding robust correspondences between images is a crucial step in photogrammetry applications. The traditional approach to visualize sparse matches between two images is to place them side-by-side and draw link segments connecting pixels with matching features. In this paper we present new visualization techniques for sparse correspondences between image pairs. Key ingredients of our techniques include (a) the clustering of consistent matches, (b) the optimization of the image layout to minimiz...
Citation
Andújar, C.; Chica, A.; Comino, M. Effective visualization of sparse image-to-image correspondences. A: Eurographics Conference on Visualization. "EuroVis 2020, Eurographics / IEEE VGTC Conference on Visualization 2020: Norrköping, Sweden, May 25–29, 2020: short papers". European Association for Computer Graphics (Eurographics), 2020, p. 151-155.
Keywords
Image segmentation, Reconstruction
Group of research
ViRVIG - Visualisation, Virtual Reality and Graphic Interaction Research Group

Participants

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