Development of a video-rate stereo machine

By Takeo Kanade, H. Kano, S. Kimura, A. Yoshida, K. Oda. 1995

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Daniel Scharstein
2. Richard Szeliski
3. Heiko Hirschmüller
4. Luigi Di Stefano
5. Stefano Mattoccia
6. Ce Liu
7. Kaiming He
8. M. Marchionni

Citations in the corpus

• Learning a Multi-View Stereo Machine (2017, neutral): “An early example of such a system is the stereo machine from Kanade et al. [26] that computes disparity maps from images streams from six video cameras.”
• A fast area-based stereo matching algorithm (2004, methodology): “[6, 8, 13, 15], also referred to as area-based algorithms, calculate the disparity at each pixel on the basis of the photometric properties of the neighbouring pixels.”
• Memory access scheduling (2000, methodology): “a. Depth performs depth extraction using Kanade’s algorithm [ 8 ].”
• A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms (2001, background): “Our first set of experiments measures the effect of window size for SAD and SSD algorithms, and investigates the use of a min-filter (i.e., shiftable window).”