Ken Lee, Founder of VanGogh Imaging, presents the "Fast 3D Object Recognition in Real-World Environments" tutorial at the May 2014 Embedded Vision Summit.

Real-time 3D object recognition can be computationally intensive and difficult to implement when there are a lot of other objects (i.e. clutter) around the target. There are several approaches to deal with the clutter problem, but most are computationally expensive.

Ken Lee describes an algorithm that uses a robust descriptor, fast data structures, and an efficient sampling with a parallel implementation on an FPGA platform. VanGogh Imaging's method can recognize multiple model instances in the scene and provide their position and as well as orientation. The company's algorithm scales well with the number of models and runs in linear time.

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.



1646 North California Blvd.,
Suite 360
Walnut Creek, CA 94596 USA

Phone: +1 (925) 954-1411
Scroll to Top