【学术讲座预告】——Deterministic Max Consensus(确定性最大一致集)
发布时间:2018-11-30

主题

【学术讲座预告】——Deterministic Max Consensus(确定性最大一致集)

讲师

David Suter

讲座地点

皇都彩票工科大楼A座5楼重点实验室会议室

讲座时间

2018年12月4日(周二)下午3:00

讲者概况

David Suter is a research professor at Edith Cowan University, Perth Western Australia. Prior to that he was a Professor as They University of Adelaide, South Australia (2008-2017), including serving as the Head of the School of Computer Science (2009-2013).

Before that he was Professor at Monash University (Melbourne, Australia). He is currently on the editorial board of the Journal Pattern Recognition, and previously served on the editorial boards of the International Journal of Computer Vision, amongst others.

He was general co-chair of ACCV2002 (Melbourne, Australia) and ICIP2013 (Melbourne, Australia).

摘要 

Max consensus, implemented by RANSAC, has been the main work horse of computer vision algorithms requiring (robust) model fitting for several decades.

Despite being simple to implement, and generally reasonably effective, RANSAC comes with no performance guarantees except a weak probabilistic argument that it will give some sort of acceptable result if run long enough.

This has lead some researchers to look for deterministic ways to solve max consensus that are tractable and with improved guarantees on performance - including “half-way” house methods that deterministically update RANSAC to see a better solution.

This talk will outline recent methods in this vein.

主办单位 

计算机与控制工程学院

承办单位 

福建省信息处理与智能控制重点实验室 

协办单位

数字福建智能化生产物联网实验室

电子信息与控制工程研究中心

工业机器人应用福建省高校工程研究中心

福州市机器人技术应用联合实验室

皇都彩票互联网创新研究中心

皇都彩票汇川科技物联网联合研究院

皇都彩票计算机与控制技术研究所

皇都彩票2011协同创新培育点“物联网技术与智能系统”


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