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Embedded Vision Insights: August 16, 2016 Edition

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See a sample of this page's content below:


"3D from 2D: Theory, Implementation, and Applications of Structure from Motion," a Presentation from videantisvideantis
Structure from motion uses a unique combination of algorithms that extract depth information using a single 2D moving camera. Using a calibrated camera, feature detection, and feature tracking, the algorithms calculate an accurate camera pose and a 3D point cloud representing the surrounding scene. This 3D scene information can be used in many ways, such as for automated car parking, augmented reality, and positioning. Marco Jacobs, Vice President of Marketing at videantis, introduces the theory behind structure from motion, provides some representative applications that use it, and explores an efficient implementation for embedded applications.

"Leveraging Computer Vision and Machine Learning to Power the Visual Commerce Revolution," a Presentation from Sight CommerceSight Commerce
Satya Mallick, Co-Founder of Sight Commerce, explains how his company is using vision to enable retailers like Bloomingdale's to create more engaging, personalized shopping experiences.