Using plane + parallax for calibrating dense camera arrays
By Vaibhav Vaish, Bennett Wilburn, Neel Joshi, Marc Levoy. Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004., 2004
300 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/ab3e60422c31e6d9763d5dc0794d3c29f3e75b0c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Jesse Belden
- Tadd Truscott
- Donald G. Dansereau
- Michael C Axiak
- Alexandra H. Techet
- Oscar Pizarro
- Stefan B. Williams
- Bennett Wilburn
Citations in the corpus
- Three-dimensional synthetic aperture particle image velocimetry (2010, methodology): “The relative camera locations can be found using a simple calibration method presented in Vaish et al [26] which operates on the images from the camera array of points on planes at several depths.”
- High performance imaging using large camera arrays (2005, background): “Shifting the aligned images varies the focal depth for the system [Levoy and Hanrahan 1996; Isaksen et al. 2000; Vaish et al. 2004].”
- Globally consistent depth labeling of 4D light fields (2012, unknown): “Straightforward but hardware-intensive are camera arrays [22].”
- Decoding, Calibration and Rectification for Lenselet-Based Plenoptic Cameras (2013, background): “Previous work has addressed calibration of grids or freeform collections of multiple cameras [20, 18].”