Soh-Khim Ong
Computer Vision and Pattern Recognition · 2001–2016
A researcher in the Science corpus: 5 papers; trusts 9 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 32 citations into it; #8,263 of 21,575 by trust here, #8,502 by citations
- Human-Computer Interaction — 19 citations into it; #895 of 2,253 by trust here, #978 by citations
- Automotive Engineering — 8 citations into it
- Industrial and Manufacturing Engineering — 5 citations into it; #1,544 of 2,521 by trust here, #722 by citations
Whom Soh-Khim Ong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ronald T. Azuma
- Jianbo Shi
- David G. Lowe
- Steven J. Henderson
- Steven K. Feiner
- Carlo Tomasi
- Abhishek Seth
- Michael Calonder
- Iryna Skrypnyk
- G. Welch
Who trusts Soh-Khim Ong overall
- Paula Fraga-Lamas
- Steven J. Henderson
- Eleonora Bottani
- Tiago M. Fernández-Caramés
- Tariq Masood
- Dimitris Mourtzis
- John W. Egger
- Steven K. Feiner
- Giuseppe Vignali
- Óscar Blanco-Novoa
Papers from Soh-Khim Ong's perspective
Ordered by how strongly the researchers Soh-Khim Ong trusts endorse each paper. Same corpus, a different order for every researcher.
- Object recognition from local scale-invariant features
- KinectFusion: Real-time dense surface mapping and tracking
- Comparative effectiveness of augmented reality in object assembly (International Conference on Human Factors in Computing Systems)
- BRIEF: Binary Robust Independent Elementary Features (European Conference on Computer Vision)
- Distinctive Image Features from Scale-Invariant Keypoints
- Good features to track
- Scene modelling, recognition and tracking with invariant image features (Third IEEE and ACM International Symposium on Mixed and Augmented Reality)
- Exploring the Benefits of Augmented Reality Documentation for Maintenance and Repair (IEEE Transactions on Visualization and Computer Graphics)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Face to face collaborative AR on mobile phones (International Symposium on Mixed and Augmented Reality)
Their papers
- A comprehensive survey of augmented reality assembly research (2016) — 441 citations
- Augmented reality applications in design and manufacturing (2012) — 722 citations
- Augmented reality applications in manufacturing: a survey (2008) — 341 citations
- Virtual and Augmented Reality Applications in Manufacturing (2004) — 309 citations
- Environmental life cycle cost analysis of products (2001) — 114 citations