Vision Algorithms: Theory and Practice

By Bill Triggs, Andrew Zisserman, Richard Szeliski. Lecture Notes in Computer Science, 2002

350 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/5c1f10b0bbeb9ffe480c68d53e2b87beeef4621f

How researchers see this paper

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

In Aerospace Engineering

1. Frank Dellaert
2. T. Barfoot
3. Michael Kaess
4. J. Garibaldi
5. Peter R. Innocent
6. Heiko Hirschmüller
7. Guoquan Huang
8. Davide Scaramuzza

In Atomic and Molecular Physics, and Optics

1. J. Garibaldi
2. Frank Dellaert
3. Peter R. Innocent
4. Michael Kaess
5. Heiko Hirschmüller

In Electrical and Electronic Engineering

1. Michael Kaess
2. Frank Dellaert
3. T. Barfoot
4. J. Garibaldi
5. Peter R. Innocent
6. Heiko Hirschmüller
7. Guoquan Huang
8. Wolfram Burgard

Citations in the corpus

• State Estimation for Robotics (2017, background): “Starting around the 1970s, aerial map making was gradually replaced by satellite-based mapping (e.g., the US Landsat program), but the basic algorithms for image stitching remain the same (Triggs et al., 2000).”
• Square Root SAM: Simultaneous Localization and Mapping via Square Root Information Smoothing (2006, methodology): “…1980), photogrammetry (Brown 1976; Granshaw 1980; Slama 1980; Cooper and Robson 1996), where it is known as “bundle adjustment”, and computer vision (Faugeras 1993; Szeliski and Kang 1993, 1994; Triggs et al. 2000; Hartley and Zisserman 2000), where it is referred to as “structure from motion”.”
• Real-Time Correlation-Based Stereo Vision with Reduced Border Errors (2002, methodology): “A stereo image pair from the University of Tsukuba (figure 3 in section 2.3) and an image of a slanted object (figure 8) from Szeliski and Zabih [ 10 ] have been used for evaluation.”