Yulan Guo and Mohammed Bennamoun - Free people check

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3D Shape Analysis: Fundamentals, Theory, and Applications ...books.google.com › books

books.google.de

3D Shape Analysis: Fundamentals, Theory, and Applications. By Hamid Laga, Yulan Guo, Hedi Tabia, Robert B. Fisher, Mohammed Bennamoun ...

Deep Learning for 3D Point Clouds: A Surveyarxiv.org › cs

arxiv.org

Title:Deep Learning for 3D Point Clouds: A Survey. Authors:Yulan Guo, Hanyun Wang, Qingyong Hu, Hao Liu, Li Liu, Mohammed Bennamoun.

Persistence-based Interest Point Detection for 3D Deformable ...www.scitepress.org › Documents

www.scitepress.org

Xupeng Wang, Ferdous Sohel, Mohammed Bennamoun, Yulan Guo, Hang Lei. Abstract. Several approaches for interest point detection on rigid shapes have ...

[ ] Rotational Projection Statistics for 3D Local Surface...

arxiv.org

Title: Rotational Projection Statistics for 3D Local Surface Description and Object Recognition. Authors: Yulan Guo, Ferdous Sohel, Mohammed Bennamoun, Min Lu, Jianwei Wan. (Submitted on 11 Apr 2013). Abstract: Recognizing 3D objects in the presence of noise, varying mesh resolution, occlusion and clutter is a very ...

All web results to the name "Yulan Guo"

Mohammed Bennamoun - Бібліографічні посилання Google Академія

scholar.google.com.ua

... Wei Liu,; Jasmine Banks,; Syed Mohammed Shamsul Islam,; Prof Boualem Boashash,; Rowan Davies,; Peter Corke,; Yulan Guo,; Du Huynh,; Clinton Fookes, ...

Munawar Hayat - Google Scholar Citations

scholar.google.com.au

h-index, 3, 3. i10-index, 1, KoautorenAlle anzeigen… Mohammed Bennamoun,; Yinjie Lei,; Senjian An,; Yulan Guo · Titel1–9, Zitiert von, Jahr ...

RoPs (Rotational Projection Statistics) feature — Point ...

pcl.readthedocs.io

RoPs (Rotational Projection Statistics) feature. In this tutorial we will learn how to use the pcl::ROPSEstimation class in order to extract points features. The feature extraction method implemented in this class was proposed by Yulan Guo, Ferdous Sohel, Mohammed Bennamoun, Min Lu and Jianwei Wanalso in their article “Rotational Projection Statistics for 3D Local Surface …

A two-phase weighted collaborative representation for 3D partial face...

researchprofiles.canberra.edu.au

A two-phase weighted collaborative representation for 3D partial face recognition with single sample. Yinjie Lei, Yulan Guo, Munawar Hayat, Mohammed Bennamoun, Xinzhi Zhou. Research output: Contribution to journal › Article. 6 Citations ...

An efficient 3D face recognition approach using local ...researchprofiles.canberra.edu.au › publications

researchprofiles.canberra.edu.au

An efficient 3D face recognition approach using local geometrical signatures. Yinjie Lei, Mohammed Bennamoun, Munawar Hayat, Yulan Guo. Research output: ...

SiROP - Studenten suchen Abschlussarbeiten und Forschungsprojekte

sirop.org

Federico Tombari, Samuele Salti, Luigi Di Stefano, “Performance Evaluation of 3D Keypoint Detectors”. [3]. Yulan Guo, Mohammed Bennamoun, Ferdous Sohel, Min Lu, Jianwei Wan, “3D Object Recognition in Cluttered Scenes with Local Surface Features: A Survey”. [4]. Samuele Salti, Federico Tombari, ...

Cvpr2016

cvpr2016.thecvf.com

(PM only), Augustus IV, 3D Keypoint Detection and Feature Description, Mohammed Bennamoun, Yulan Guo, Federico Tombari, Ferdous Sohel (AM only), Forum , Understanding the In-Camera Image Processing Pipeline for Computer Vision, Michael S. Brown (full day), Milano VI - VII ...

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Yulan Guo and Mohammed Bennamoun Free People Check