Bookmark and Share

October 2013 Embedded Vision Summit Technical Presentation: "Efficiently Computing Disparity Maps for Low-Cost 3D Stereo Vision," Tom Wilson, CogniVue

Register or sign in to access the Embedded Vision Academy's free technical training content.

The training materials provided by the Embedded Vision Academy are offered free of charge to everyone. All we ask in return is that you register, and tell us a little about yourself so that we can understand a bit about our audience. As detailed in our Privacy Policy, we will not share your registration information, nor contact you, except with your consent.

Registration is free and takes less than one minute. Click here to register, and get full access to the Embedded Vision Academy's unique technical training content.

If you've already registered, click here to sign in.

See a sample of this page's content below:


Tom Wilson, Vice President of Business Development at CogniVue, presents the "Efficiently Computing Disparity Maps for Low-Cost 3D Stereo Vision" tutorial within the "Front-End Image Processing for Vision Applications" technical session at the October 2013 Embedded Vision Summit East.

The ability to detect and determine the position of objects in 3D is important for many vision applications, such as gesture recognition, automotive safety and augmented reality. Various sensor technologies can be used to provide 3D images, with stereo vision being the best established approach. Disparity map generation is a particularly important part of stereo vision processing, and is very demanding in terms of processor performance, creating challenges for cost- and power-constrained systems. This presentation describes disparity map generation and why it is challenging. It also presents approaches to reduce the computational load if disparity map generation and present an example embedded implementation.


For more information about CogniVue, please send the company an email or visit the company's website.