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Getting Started With GPU-Accelerated Computer Vision Using OpenCV and CUDA

OpenCV is a free library for research and commercial purposes that includes hundreds of optimized computer vision and image processing algorithms. NVIDIA and Itseez have optimized many OpenCV functions using CUDA on desktop machines equipped with NVIDIA GPUs. These functions are 5 to 100 times faster in wall-clock time compared to their CPU counterparts. Anatoly […]

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Improved Vision Processors, Sensors Enable Proliferation of New and Enhanced ADAS Functions

This article was originally published at John Day's Automotive Electronics News. It is reprinted here with the permission of JHDay Communications. Thanks to the emergence of increasingly capable and cost-effective processors, image sensors, memories and other semiconductor devices, along with robust algorithms, it's now practical to incorporate computer vision into a wide range of embedded

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October 2013 Embedded Vision Summit Technical Presentation: “Implementing Real-Time Hyperspectral Imaging,” Kalyanramu Vemishetty, National Instruments

Kalyanramu Vemishetty, Senior Systems Engineer at National Instruments, presents the "Implementing Real-Time Hyperspectral Imaging tutorial within the "Front-End Image Processing for Vision Applications" technical session at the October 2013 Embedded Vision Summit East. Hyperspectral imaging enables vision systems to use many spectral bands rather than just the typical red, green, blue bands. This can be

October 2013 Embedded Vision Summit Technical Presentation: “Implementing Real-Time Hyperspectral Imaging,” Kalyanramu Vemishetty, National Instruments Read More +

Stereo Vision for 3D Depth Perception

Jeff Bier, founder of the Embedded Vision Alliance, interviews Goksel Dedeoglu, Manager of Embedded Vision R&D at Texas Instruments. Beginning with a hands-on demonstration of TI's real-time stereo vision prototype on the C6678 Keystone DSP, Jeff and Goksel touch upon various trade-offs in designing a stereo depth camera: the separation between the sensors, image resolution, field-of-view, and finally,

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Lucas-Kanade Feature Tracking

Jeff Bier, founder of the Embedded Vision Alliance, interviews Goksel Dedeoglu, Manager of Embedded Vision R&D at Texas Instruments. They begin with a hands-on demonstration of real-time Lucas-Kanade tracking using TI's Vision Library VLIB on the C6678 Keystone DSP, wherein thousands of Harris corner features are detected and tracked in 1080p HD resolution images at 15 frames per

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October 2013 Embedded Vision Summit Technical Presentation: “Efficient Super-Resolution Algorithms and Implementation Techniques for Constrained Applications,” Ilan Yona, CEVA

Ilan Yona, Director of Imaging and Computer Vision at CEVA, presents the "Efficient Super-Resolution Algorithms and Implementation Techniques for Constrained Applications" tutorial within the "Front-End Image Processing for Vision Applications" technical session at the October 2013 Embedded Vision Summit East. Image quality is a critical challenge in many applications, including smart phones, especially when using

October 2013 Embedded Vision Summit Technical Presentation: “Efficient Super-Resolution Algorithms and Implementation Techniques for Constrained Applications,” Ilan Yona, CEVA Read More +

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

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

October 2013 Embedded Vision Summit Technical Presentation: “Efficiently Computing Disparity Maps for Low-Cost 3D Stereo Vision,” Tom Wilson, CogniVue Read More +

October 2013 Embedded Vision Summit Technical Presentation: “Using Heterogeneous Computing for Mobile and Embedded Vision,” Rick Maule, Qualcomm

Rick Maule, Senior Director of Project Management at Qualcomm, presents the "Using Heterogeneous Computing for Mobile and Embedded Vision" tutorial within the "Implementing Vision Systems" technical session at the October 2013 Embedded Vision Summit East. A single vision application typically incorporates multiple algorithms requiring many different types of computation. This diversity makes it difficult for

October 2013 Embedded Vision Summit Technical Presentation: “Using Heterogeneous Computing for Mobile and Embedded Vision,” Rick Maule, Qualcomm Read More +

April 2013 Embedded Vision Summit Technical Presentation: “Heterogeneous Mobile Processing Platforms for Computer Vision Applications,” Ning Bi, Qualcomm

Ning Bi, Senior Director of Technology in the Computer Vision System team at Qualcomm Technologies, presents the “Heterogeneous Mobile Processing Platforms for Computer Vision Applications” tutorial within the “Developing Vision Software, Accelerators and Systems” technical session at the April 2013 Embedded Vision Summit. For more information about Qualcomm, please send the company an email or

April 2013 Embedded Vision Summit Technical Presentation: “Heterogeneous Mobile Processing Platforms for Computer Vision Applications,” Ning Bi, Qualcomm Read More +

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Visual Intelligence Gives Robotic Systems Spatial Sense

This article is an expanded version of one originally published at EE Times' Embedded.com Design Line. It is reprinted here with the permission of EE Times. In order for robots to meaningfully interact with objects around them as well as move about their environments, they must be able to see and discern their surroundings. Cost-effective

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