Scott Krig, author of the book "Computer Vision Metrics: Survey, Taxonomy, and Analysis," delivers the presentation "Introduction to Feature Descriptors in Vision: From Haar to SIFT" at the September 2014 Embedded Vision Alliance Member Meeting.
This article was originally published at NVIDIA's developer blog. It is reprinted here with the permission of NVIDIA. By Larry Brown Solution Architect, NVIDIA Machine Learning (ML) has its origins in the field of Artificial Intelligence, which started out decades ago with the lofty goals of creating a computer that could do any work a
Accelerate Machine Learning with the cuDNN Deep Neural Network Library Read More +
A version of this article was originally published at EE Times' Embedded.com Design Line. It is reprinted here with the permission of EE Times. Moving beyond the research lab, embedded vision is rapidly augmenting traditional law enforcement techniques in real world surveillance settings. Technological gaps are rapidly being surmounted as automated surveillance systems' various hardware
Vision-Based Artificial Intelligence Brings Awareness to Surveillance Read More +
Kevin Shaw, Chief Technology Officer at Sensor Platforms, delivers the presentation "Using Inertial Sensors and Sensor Fusion to Enhance the Capabilities of Embedded Vision Systems" at the May 2014 Embedded Vision Alliance Member Meeting.
Ori Inbar, co-founder and CEO of AugmentedReality.org, presents the "How to Make the World More Interactive: Augmented Reality as the Interface Between Wearable Tech and the Internet of Things" tutorial at the May 2014 Embedded Vision Summit. In this talk, Inbar explains how augmented reality, which relies heavily on embedded vision, is transitioning from a
Marco Jacobs, Vice President of Marketing at videantis, presents the "Implementing Histogram of Oriented Gradients on a Parallel Vision Processor" tutorial at the May 2014 Embedded Vision Summit. Object detection in images is one of the core problems in computer vision. The Histogram of Oriented Gradients method (Dalal and Triggs 2005) is a key algorithm
Bruno Lavigueur, Embedded Vision Subsystem Project Leader at Synopsys, presents the "Combining Flexibility and Low-Power in Embedded Vision Subsystems: An Application to Pedestrian Detection" tutorial at the May 2014 Embedded Vision Summit. Lavigueur presents an embedded-mapping and refinement case study of a pedestrian detection application. Starting from a high-level functional description in OpenCV, he decomposes
Harris Gasparakis, Ph.D., OpenCV manager at AMD, presents the "Computer Vision Powered by Heterogeneous System Architecture (HSA)" tutorial at the May 2014 Embedded Vision Summit. Gasparakis reviews the HSA vision and its current incarnation though OpenCL 2.0, and discusses its relevance and advantages for Computer Vision applications. HSA unifies CPU cores, GPU compute units, and
Neil Trevett, President of Khronos and Vice President at NVIDIA, presents the "OpenVX Hardware Acceleration API for Embedded Vision Applications and Libraries" tutorial at the May 2014 Embedded Vision Summit. This presentation introduces OpenVX, a new application programming interface (API) from the Khronos Group. OpenVX enables performance and power optimized vision algorithms for use cases
Jeff Bier, President and co-founder of BDTI and founder of the Embedded Vision Alliance, presents the "What's New in Tools for Vision Application Design and Development?" tutorial at the May 2014 Embedded Vision Summit. Today, there's an unprecedented diversity of tools, APIs and libraries available for product creators who are designing and implementing vision applications,
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