Display options
Cite
Xue N, Xia GS, Bai X, et al. Anisotropic-Scale Junction Detection and Matching for Indoor Images. IEEE Trans Image Process. 2018;27(1):78-91doi: 10.1109/TIP.2017.2754945.
Xue, N., Xia, G. S., Bai, X., Zhang, L., & Shen, W. (2018). Anisotropic-Scale Junction Detection and Matching for Indoor Images. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, 27(1), 78-91. https://doi.org/10.1109/TIP.2017.2754945
Xue, Nan, et al. "Anisotropic-Scale Junction Detection and Matching for Indoor Images." IEEE transactions on image processing : a publication of the IEEE Signal Processing Society vol. 27,1 (2018): 78-91. doi: https://doi.org/10.1109/TIP.2017.2754945
Xue N, Xia GS, Bai X, Zhang L, Shen W. Anisotropic-Scale Junction Detection and Matching for Indoor Images. IEEE Trans Image Process. 2018 Jan.;27(1):78-91. doi: 10.1109/TIP.2017.2754945. PMID: 28945595.
Copy Download .nbib Format: NLM
Share it on

IEEE Trans Image Process. 2018 Jan.;27(1):78-91. doi: 10.1109/TIP.2017.2754945.

Anisotropic-Scale Junction Detection and Matching for Indoor Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

Nan Xue, Gui-Song Xia, Xiang Bai, Liangpei Zhang, Weiming Shen

Affiliations

  1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China.
  2. School of Electronics Information and Communications, Huazhong University of Science and Technology, Wuhan, China.

PMID: 28945595 DOI: 10.1109/TIP.2017.2754945

Abstract

Junctions play an important role in characterizing local geometrical structures of images, and the detection of which is a longstanding but challenging task. Existing junction detectors usually focus on identifying the location and orientations of junction branches while ignoring their scales, which, however, contain rich geometries of images. This paper presents a novel approach for junction detection and characterization, which especially exploits the locally anisotropic geometries of a junction and estimates its scales by relying on an

Keywords: Detectors; Geometry; Image edge detection; Image matching; Image segmentation; Junctions; Visualization

Publication Types