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6D Dynamic Camera Relocalization and Fine-Grained Change Detection
Date: 2016/1/15             Browse: 395

Speaker: Wei Feng

Time: Jan 15, 2:30pm - 3:30pm.

Location: Room 310, Teaching Center


A great success of various computer vision algorithms in solving real-world challenging problems have been witnessed in recent years. In the era of big data, most works assume the existence of large-volume trustworthy data. In this talk, we focus on how to acquire these trustworthy data in practice.

We show a real case of using active robotic vision method to acquire high-quality data to support the detection and measurement of fine-grained deteriorations of very-slowly-changed objects, that is, to realize subtle status monitoring of high-value objects, like ancient murals and high-speed trains. Specifically, we study how to realize high-quality minute-change imaging and monitoring in an inexpensive but theoretically guaranteed way. We have tested our algorithm and platform in Dunhuang Mogao Grottoes and have achieved ice-breaking results by improving baseline 100-years object-level change detection to yearly 0.1mm-level change detection.


Wei Feng received the BS and MPhil degrees in computer science from Northwestern Polytechnical University, China, in 2000 and 2003, respectively, and the PhD degree in computer science from the City University of Hong Kong in 2008. From 2008 to 2010, he was a Research Fellow with the Chinese University of Hong Kong and then with the City University of Hong Kong. He is currently an Associate Professor at the school of Computer Science and Technology, Tianjin University. He is also the director of Graphics, Vision and Media Computing Center of TJU. His research interests include active robotic vision, general Markov Random Fields modeling, discrete/continuous energy minimization, image segmentation, superpixel-level image processing, weakly-supervised clustering, structural authentication, and generic pattern recognition. He is a young AE of Frontiers of Computer Science.  He was a recipient of the support of the Program for New Century Excellent Talents in University, China, in 2011.

SIST-Seminar 16001