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A survey of approaches and challenges in 3D and multi-modal 3D+2D face recognition
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Canadian funderA Canadian agency funded it. The work may carry no Canadian affiliation at all.
No Canadian affiliation. An affiliation-only frame — the usual design — would never have seen this work. It is one of the works that make the case for inverting the frame.
Abstract
No abstract. This is not a gap in this database — OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
The record
- Venue
- Computer Vision and Image Understanding
- Topic
- Face recognition and analysis
- Field
- Computer Science
- Canadian institutions
- —
- Funders
- National Research Council CanadaU.S. Department of JusticeNational Science Foundation
- Keywords
- Facial recognition systemModalMatching (statistics)Computer scienceFace (sociological concept)Artificial intelligencePattern recognition (psychology)Machine learningComputer visionMathematicsStatistics
- Has abstract in OpenAlex
- no