3-D Vision with Robotics Applications in MATLAB

3-D computer vision has rapidly evolved over the last decade and is now being widely used in fields such as autonomous robotics, automotive safety, gesture recognition and gaming. This half day tutorial will cover both theoretical and practical information on implementing 3D vision systems using passive sensors such as calibrated single and stereo cameras, and active RGB-D sensors such as the Microsoft Kinect.

All presentations will be accompanied by demonstrations of practical applications. Code will be made available for download after the session.


Time Topic
8:30am – 8:45am Introduction and welcome remarks
8:45am – 9:00am Demonstration of robotics applications that use 3-D Vision
9:00am – 10:00am

Camera calibration, stereo vision and structure from motion:

  • Calibrate single and stereo cameras
  • 3-D scene reconstruction using stereo vision
  • Monocular structure from motion ( SFM)
10:00am – 10:30am Break
10:30am – 11:00am Working with real robots using MATLAB
11:00am – 12:00pm

3-D Point Cloud Processing:

  • Managing and manipulating point cloud data in MATLAB
  • Point cloud registration and stitching
  • Detecting geometric shapes in 3-D point cloud data


Dima Lisin, Zheng Wu

Address: The MathWorks Inc.,
                 3 Apple Hill Drive,
                 Natick, MA 01760, USA
Direct:     508-647-8615

Location & Dates

Boston, MA
7 Jun 2015