|
| This Article | ||
| ||
| Share | ||
| Bibliographic References | ||
| Add to: | ||
| | ||
| Search | ||
| ||
2009 IEEE Conference on Computer Vision and Pattern Recognition
Capturing multiple illumination conditions using time and color multiplexing
Miami, FL, USA
June 20-June 25
ISBN: 978-1-4244-3992-8
| ASCII Text | x | ||
| B. De Decker, J. Kautz, T. Mertens, P. Bekaert, "Capturing multiple illumination conditions using time and color multiplexing," 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp. 2536-2543, 2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009. | |||
| BibTex | x | ||
| @article{ 10.1109/CVPRW.2009.5206752, author = {B. De Decker and J. Kautz and T. Mertens and P. Bekaert}, title = {Capturing multiple illumination conditions using time and color multiplexing}, journal ={2012 IEEE Conference on Computer Vision and Pattern Recognition}, volume = {0}, year = {2009}, isbn = {978-1-4244-3992-8}, pages = {2536-2543}, doi = {http://doi.ieeecomputersociety.org/10.1109/CVPRW.2009.5206752}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - 2012 IEEE Conference on Computer Vision and Pattern Recognition TI - Capturing multiple illumination conditions using time and color multiplexing SN - 978-1-4244-3992-8 SP2536 EP2543 A1 - B. De Decker, A1 - J. Kautz, A1 - T. Mertens, A1 - P. Bekaert, PY - 2009 KW - time multiplexing KW - multiple illumination condition KW - color multiplexing frame KW - vision problem KW - graphics problem KW - structured light scanning KW - photometric stereo KW - computing optical flow KW - register adjacent frame VL - 0 JA - 2012 IEEE Conference on Computer Vision and Pattern Recognition ER - | |||
Many vision and graphics problems such as relighting, structured light scanning and photometric stereo, need images of a scene under a number of different illumination conditions. It is typically assumed that the scene is static. To extend such methods to dynamic scenes, dense optical flow can be used to register adjacent frames. This registration becomes inaccurate if the frame rate is too low with respect to the degree of movement in the scenes. We present a general method that extends time multiplexing with color multiplexing in order to better handle dynamic scenes. Our method allows for packing more illumination information into a single frame, thereby reducing the number of required frames over which optical flow must be computed. Moreover, color-multiplexed frames lend themselves better to reliably computing optical flow. We show that our method produces better results compared to time-multiplexing alone. We demonstrate its application to relighting, structured light scanning and photometric stereo in dynamic scenes.
Index Terms:
time multiplexing, multiple illumination condition, color multiplexing frame, vision problem, graphics problem, structured light scanning, photometric stereo, computing optical flow, register adjacent frame
Citation:
B. De Decker, J. Kautz, T. Mertens, P. Bekaert, "Capturing multiple illumination conditions using time and color multiplexing," cvpr, pp.2536-2543, 2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009
Usage of this product signifies your acceptance of the Terms of Use.
