Efficient Edge-Based Methods for Estimating Manhattan Frames in Urban Imagery
By Patrick Denis, James H. Elder, Francisco J. Estrada. European Conference on Computer Vision, 2008
298 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition, Environmental Engineering
View Paper: https://www.semanticscholar.org/paper/b982e9f51dcb5b5769813cb6cf1c541be2bf2e2c
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
- Jitendra Malik
- Silvio Savarese
- Abhinav Kumar Gupta
- Pushmeet Kohli
- Derek Hoiem
- Amir Zamir
- D.A. Forsyth
- Martial Hebert
In Computer Vision and Pattern Recognition
- Luc Van Gool
- Jitendra Malik
- Andrew Zisserman
- Abhinav Kumar Gupta
- Trevor Darrell
- Xiaogang Wang
- Andrea Vedaldi
- Ming-Hsuan Yang
In Environmental Engineering
- Jitendra Malik
- Silvio Savarese
- Victor S. Lempitsky
- D.A. Forsyth
- Varsha Hedau
- Amir Zamir
- Olga Barinova
- Jean-Philippe Tardif
Citations in the corpus
- Non-iterative approach for fast and accurate vanishing point detection (2009, methodology): “We used the ground truth edges of the York Urban Database and applied our algorithm with no EM refinement.”
- Generic 3D Representation via Pose Estimation and Matching (2016, background): “, York [16] and PKU [34]) include only 102-200 images for both training and testing.”
- Recovering the spatial layout of cluttered rooms (2009, background): “Several works [3, 12, 20] address estimation of vanishing points from an image (see [5] for an excellent discussion).”
- On Detection of Multiple Object Instances Using Hough Transforms (2010, background): “As a benchmark, we considered the YorkUrbanDB(1) data set [30].”