N. Kwok
Computer Vision and Pattern Recognition · with Bennamoun · 2015–2020
A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 33 citations into it
- Aerospace Engineering — 23 citations into it
- Computational Mechanics — 8 citations into it
- Geology — 8 citations into it
Whom N. Kwok trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from N. Kwok's perspective
Ordered by how strongly the researchers N. Kwok trusts endorse each paper. Same corpus, a different order for every researcher.
- Distinctive Image Features from Scale-Invariant Keypoints
- Using Spin Images for Efficient Object Recognition in Cluttered 3D Scenes
- A performance evaluation of local descriptors
- PCA-SIFT: a more distinctive representation for local image descriptors
- Recognizing Objects in Range Data Using Regional Point Descriptors
- A Comparison of Affine Region Detectors
- Evaluation of Interest Point Detectors (International Journal of Computer Vision)
- Scale & Affine Invariant Interest Point Detectors
- A Method for Registration of 3-D Shapes
- On the Repeatability and Quality of Keypoints for Local Feature-based 3D Object Retrieval from Cluttered Scenes
Their papers
- A Comprehensive Performance Evaluation of 3D Local Feature Descriptors (2015) — 578 citations
- Damage detection techniques for wind turbine blades: A review (2020) — 400 citations