Maximum Consensus Problem

Recent Algorithmic Advances

AvTat-Jun Chin,David Suter

Häftad, Engelska, 2017

Del i serien Synthesis Lectures on Computer Vision

554 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Beskrivning

Outlier-contaminated data is a fact of life in computer vision. In this context, the maximum consensus robust criterion plays a critical role by allowing the quantity of interest to be estimated from noisy and outlier-prone visual measurements.

Produktinformation

Utgivningsdatum:2017-02-27
Mått:191 x 235 x 11 mm
Vikt:377 g
Format:Häftad
Språk:Engelska
Serie:Synthesis Lectures on Computer Vision
Antal sidor:178
Förlag:Springer International Publishing AG
ISBN:9783031006906
Originaltitel:The Maximum Consensus Problem

Utforska kategorier

Systemvetenskap och AI inom Data och IT

Mer om författaren

Tat-Jun Chin was born and raised in Nibong Tebal, Penang. He received his B.Eng. in Electrical Engineering (Mechatronics) from Universiti Teknologi Malaysia (UTM) in 2003, and his Ph.D.in Computer Systems Engineering from Monash University in 2007 with a thesis titled ""Kernel Subspace Methods in Computer Vision."" His undergraduate studies were partly supported by an Agilent Technologies Scholarship, and his Ph.D. studies were mainly supported by an Endeavour Australia-Asia Award. He was a Research Fellow at the Institute for Infocomm Research (I2R) in Singapore from 2007-2008. Since 2008 he has been a Senior Research Associate (2008-2010), Lecturer (2010-2013), and Senior Lecturer (2014-2016) at The University of Adelaide. Since 2017 he was an Associate Professor at the same university. His research interests include robust estimation and geometric optimization. He won a CVPR award and DSTO award (both in 2015) for his research work.David Suter was born in Leeds, UK. He holds the following degrees: BSc (Applied Maths and Physics, The Flinders University of SA, 1977); Grad. Dip. Ed. (Secondary Teaching, The Flinders University of SA, 1978); Grad. Dip. Comp. (Royal Melbourne Institute of Technology, 1984); Ph.D. (Computer Vision, La Trobe University, 1991). He has held the following appointments: Lecturer at La Trobe University 1988-1992); Senior Lecturer, Associate Professor and Professor at Monash University (1992-2008), Professor at The University of Adelaide (2008-). He has served on the Australian Research Council College of Experts (2008-10) and the editorial boards of several journals: International Journal of Computer Vision (2004-2013), Journal of Mathematical Imaging and Vision (2008-2010), Machine Vision and Applications (2006-2008). He was general co-chair of two major conferences: ACCV2002 and ICIP2013 (both hosted in Melbourne Australia).

Innehållsförteckning

Preface.- Acknowledgments.- The Maximum Consensus Problem.- Approximate Algorithms.- Exact Algorithms.- Preprocessing for Maximum Consensus.- Appendix.- Bibliography.- Authors' Biographies.- Index .