Optical Flow Estimation
By David J. Fleet, Yair Weiss. 2006
533 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Media Technology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Nikos Paragios
- Aristeidis Sotiras
- Junhwa Hur
- Christos Davatzikos
- Stefan Roth
- Dacheng Tao
- Simon Meister
- Ming-Hsuan Yang
In Media Technology
- C. Waitt
- Stefan Roth
- Nikos Paragios
- Christos Davatzikos
- S. Roberts
- Simon Meister
- Marian S. Dawkins
- Junhwa Hur
Citations in the corpus
- UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss (2017, methodology): “Our unsupervised loss is based on the observation that a pixel in the first frame should be similar to the pixel in the second frame to which it is mapped by the flow (Fleet and Weiss 2006), which we encourage with our data loss.”
- Optical flow patterns in broiler chicken flocks as automated measures of behaviour and gait (2009, methodology): “‘Optical flow’, on the other hand, can be used to describe the mass movement of whole groups of objects or animals since it involves measuring the velocity of image motion in front of an eye or camera (Beauchemin and Barron, 1995; Fleet and Weiss, 2005; Sonka et al., 1999).”
- Deformable Medical Image Registration: A Survey (2013, background): “cations where the interest is to recover the apparent motion of objects between sequences of successive images (optical flow estimation) [12], [13].”