• The University of Western Australia (M002), 35 Stirling Highway,

    6009 Perth


  • 741 Citations
  • 6 h-Index
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Fingerprint Dive into the research topics where Yulan Guo is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 6 Similar Profiles
Object recognition Engineering & Materials Science
3D Object Recognition Mathematics
Face recognition Engineering & Materials Science
Shot noise Engineering & Materials Science
Clutter Mathematics
Computational efficiency Engineering & Materials Science
Occlusion Mathematics
Image registration Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2014 2017

  • 741 Citations
  • 6 h-Index
  • 7 Article
  • 2 Conference paper
  • 1 Entry for encyclopedia/dictionary

Persistence-based Interest Point Detection for 3D Deformable Surface

Wang, X., Sohel, F., Bennamoun, M., Guo, Y. & Lei, H., 2017, Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications . Claudio, A. P., Bechmann, D. & Braz, J. (eds.). Portugal: Scitepress, Vol. 1. p. 58-69

Research output: Chapter in Book/Conference paperConference paper

Open Access
Hot Temperature
1 Citation (Scopus)

Scale space clustering evolution for salient region detection on 3D deformable shapes

Wang, X., Sohel, F., Bennamoun, M., Guo, Y. & Lei, H., 1 Nov 2017, In : Pattern Recognition. 71, p. 414-427 14 p.

Research output: Contribution to journalArticle

209 Citations (Scopus)
11 Downloads (Pure)

A Comprehensive Performance Evaluation of 3D Local Feature Descriptors

Guo, Y., Bennamoun, M., Sohel, F., Lu, M., Wan, J. & Kwok, N. M., Jan 2016, In : International Journal of Computer Vision. 116, 1, p. 66-89

Research output: Contribution to journalArticle

Shot noise
Object recognition
Computational efficiency
30 Citations (Scopus)
computer vision
Computer vision
Object detection
61 Citations (Scopus)
359 Downloads (Pure)

A novel local surface feature for 3D object recognition under clutter and occlusion

Guo, Y., Sohel, F., Bennamoun, M., Wan, J. & Lu, M., 1 Feb 2015, In : Information Sciences. 293, p. 196-213

Research output: Contribution to journalArticle

Open Access
3D Object Recognition
Object recognition
Recognition Algorithm