Work

Learning an efficient model of hand shape variation from depth images

Year: 2015

Type: conference-paper

Source: IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

DOI: 10.1109/cvpr.2015.7298869

Authors: Sameh Khamis, Jonathan Taylor, Jamie Shotton, Cem Keskin, Shahram Izadi, Andrew Fitzgibbon

Institutions: Microsoft (United States), University of Maryland, College Park

Language: English

Topic: 3D Shape Modeling and Analysis

Subfield: Computational Mechanics

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W1930710394

FWCI: 19.61

Cites: 34

Cited by: 115

Related to: 10