8:00 – 8:15 Welcome Remarks

Oral Session1

8:15 – 9:00 Invited Speaker Andrew Comport Accurate and Robust 3D Visual odometry

9:00 – 9:30 W14.01 Dense Linear-Time Correspondences for Tracking

9:30 – 10:00 W14.02 A Dual-Layer Estimator Architecture for Long-term Localization

10:00-10:30 Coffee Break

10:30-12:00 Poster Session

W14.04 Improving the Selection and Detection of Visual Landmarks Through Object Tracking

W14.05 3D Tracking Using On-Line Keypoint Learning for Mobile Augmented Reality

W14.06 Visual Map Matching and Localization Using a Global Feature Map

W14.07 Autonomous Navigation and Mapping using Monocular Low-Resolution Grayscale Vision

W14.08 Spatio-Temporal Consistency and Distributivity as Qualities of Features

W14.09 Improving RANSAC for Fast Landmark Recognition

W14.10 Incremental estimation without specifying a-priori covariance matrices for the novel parameters

12:00 -1:30 Lunch Break

Oral Session2

1:30 – 2:45 Guest Speaker Motilal Agrawal -- Features for Real Time Visual Odometry

2:45 – 3:15 W14.03 Camera Localization and Building Reconstruction from Single Monocular Images

3:15- 3:45 Coffee Break

Oral Session3

3:45 - 4:15 W14.11 Visual Loop Closing Using Extremely Randomized Trees

4:15 – 4:45 W14.12 Boosting Descriptors Condensed from Video Sequences for Place Recognition

4:45 – 5:15 W14.13 Visual Detection of Lintel-Occluded Doors from a Single Image