Tree-Structured Classifiers for Pose Estimation

Add to your list(s) Download to your calendar using vCal

• Tae-Kyun Kim, Imperial College
• Monday 20 July 2015, 11:45-12:45
• Lecture Theatre 2, Computer Laboratory.

If you have a question about this talk, please contact Alan Blackwell.

Many computer vision tasks can be cast as large-scale classification problems, where extremely efficient and powerful classification methods are pursued. Boosting with decision stump learners, the state-of-the-art for objet detection, can be seen as a flat structure, while many developments including a Boosting cascade can be seen as a tree structure. Randomised Decision Forests is an emerging technique in the fields. A hierarchical structure yields many short paths, accelerating evaluation time, while feature randomisation promotes good generalisation to unseen data. It is inherently for multi-class classification problems. In this talk, we see applications of Randomised Decision Forests and tree-structured methods with comparisons and insights. The talk focuses on articulated hand pose estimation, and face recognition/landmarking. Hand and face are highly articulated and deformable objects, playing a key role for novel man-machine interfaces. Estimating their 3D postures, or regressing locations of joints/fiducial points is highly challenging. We have tackled the problems by various novel ideas on top of the cutting-edge techniques. We conclude the talk with some future directions including active interactive object recognition.

This talk is part of the Rainbow Group Seminars series.

This talk is included in these lists:

• All Talks (aka the CURE list)
• Cambridge Centre for Data-Driven Discovery (C2D3)
• Cambridge talks
• Chris Davis' list
• Department of Computer Science and Technology talks and seminars
• Interested Talks
• Lecture Theatre 2, Computer Laboratory
• Rainbow Group Seminars
• School of Technology
• Trust & Technology Initiative - interesting events
• bld31
• ndk22's list
• ob366-ai4er
• rp587

Note that ex-directory lists are not shown.