Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/132150
Title: Articulated motion and deformable objects
Author: Wan, Jun
Escalera Guerrero, Sergio
Perales, Francisco J.
Kittler, Josef
Keywords: Reconeixement facial (Informàtica)
Reconeixement de formes (Informàtica)
Human face recognition (Computer science)
Pattern recognition systems
Issue Date: Jul-2018
Publisher: Elsevier Ltd
Abstract: This guest editorial introduces the twenty two papers accepted for this Special Issue on Articulated Motion and Deformable Objects (AMDO). They are grouped into four main categories within the field of AMDO: human motion analysis (action/gesture), human pose estimation, deformable shape segmentation, and face analysis. For each of the four topics, a survey of the recent developments in the field is presented. The accepted papers are briefly introduced in the context of this survey. They contribute novel methods, algorithms with improved performance as measured on benchmarking datasets, as well as two new datasets for hand action detection and human posture analysis. The special issue should be of high relevance to the reader interested in AMDO recognition and promote future research directions in the field.
Note: Versió postprint del document publicat a: https://doi.org/10.1016/j.patcog.2018.01.038
It is part of: Pattern Recognition, 2018, vol. 79, p. 55-64
URI: http://hdl.handle.net/2445/132150
Related resource: https://doi.org/10.1016/j.patcog.2018.01.038
ISSN: 0031-3203
Appears in Collections:Articles publicats en revistes (Matemàtiques i Informàtica)

Files in This Item:
File Description SizeFormat 
679928.pdf140.76 kBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons