Ardern Hulme-Beaman

Computer Vision and Pattern Recognition · 2011–2016

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 5 citations into it

Whom Ardern Hulme-Beaman trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Changchang Wu
2. David G. Lowe

Who trusts Ardern Hulme-Beaman overall

1. A. Evin

Papers from Ardern Hulme-Beaman's perspective

Ordered by how strongly the researchers Ardern Hulme-Beaman trusts endorse each paper. Same corpus, a different order for every researcher.

1. Towards Linear-Time Incremental Structure from Motion
2. Accurate, Dense, and Robust Multiview Stereopsis
3. Object recognition from local scale-invariant features
4. Multicore bundle adjustment
5. Early Neolithic pig domestication at Jiahu, Henan Province, China: clues from molar shape analyses using geometric morphometric approaches
6. geomorph: an r package for the collection and analysis of geometric morphometric shape data
7. MeshLab: an Open-Source 3D Mesh Processing System (ERCIM News)
8. SiftGPU : A GPU Implementation of Scale Invariant Feature Transform (SIFT)
9. Semilandmarks: a method for quantifying curves and surfaces
10. A biometric re-evaluation of recent claims for Early Upper Palaeolithic wolf domestication in Eurasia

Their papers

• The use of close-range photogrammetry in zooarchaeology: Creating accurate 3D models of wolf crania to study dog domestication (2016) — 107 citations
• Early Neolithic pig domestication at Jiahu, Henan Province, China: clues from molar shape analyses using geometric morphometric approaches (2011) — 205 citations