Detecting object boundaries using low-, mid-, and high-level information-Reference-Cited by-同舟云学术

Detecting object boundaries using low-, mid-, and high-level information

Published:2010-10 Issue:10 Volume:114 Page:1055-1067
ISSN:1077-3142
Container-title:Computer Vision and Image Understanding
language:en
Short-container-title:Computer Vision and Image Understanding

Author:

Zheng Songfeng,Yuille Alan,Tu Zhuowen

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing,Software

Reference43 articles.

1. P. Awasthi, A. Gagrani, B. Ravindran, Image modeling using tree structured conditional random fields, in: Proceedings of the 20th International Joint Conference on Artificial Intelligence, 2007.

2. Shape matching and object recognition using shape contexts;Belongie;IEEE Trans. Pattern Anal. Mach. Intell.,2002

3. E. Borenstein, E. Sharon, S. Ullman, Combining top-down and bottom-up segmentation, in: Proceedings of IEEE Workshop on Perceptual Organization in Computer Vision, June 2004.

4. A computational approach to edge detection;Canny;IEEE Trans. Pattern Anal. Mach. Intell.,1986

5. A new point matching algorithm for non-rigid registration;Chui;Comp. Vis. Image Und.,2003

Cited by 26 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Edge Detection in Gray-Scale Images Using Partial Sum of Second-Order Taylor Series Expansion;SN Computer Science;2024-01-12

2. Multi-scale pseudo labeling for unsupervised deep edge detection;Knowledge-Based Systems;2023-11

3. Color Transfer;Synthesis Lectures on Visual Computing: Computer Graphics, Animation, Computational Photography and Imaging;2023

4. An overview of edge and object contour detection;Neurocomputing;2022-06

5. Color edge detection by learning classification network with anisotropic directional derivative matrices;Pattern Recognition;2021-10