February 13, 2013

The IEEE Embedded Vision Workshop: When Planning Your Schedule, It's Never Too Early To Start

Last summer, Embedded Vision Alliance founder Jeff Bier was the keynote presenter at the IEEE Embedded Vision Workshop, held in conjunction with the IEEE CVPR (Computer Vision and Pattern Recognition) Conference. And the Embedded Vision Alliance will likely attend the Embedded Vision Workshop again this summer, although the exact form of that participation is yet to be finalized. As such, I wanted to be sure that this seminal embedded vision event is on your radar screens.
February 12, 2013

Tensilica's IVP: Your Embedded Vision Processing Core Candidate List Just Got Another Entry

A bit more than a year ago, Alliance member CEVA unveiled its MM3101 image and embedded vision processing core. Several months later, Alliance Platinum member Analog Devices introduced four new Blackfin SoCs, two of which contain the PVP (Pipelined Vision Processor) core.
February 4, 2013

The Synopsys Vision Processor Starter Kit: Audition An Online Webinar To Learn More About It

Bo Wu, the Technical Marketing Manager of Synopsys' Systems Group, is a name that is hopefully already familiar to many of you.
January 30, 2013

Camera-Inclusive Systems: Don't Forget To Employ Sufficient Security Stratagems

Adding one or several image sensors to a system, along with the necessary "muscle" to process the captured still and video frames, can notably enhance that system's capabilities and consequent appeal to potential customers. But then again, as editor-in-chief of the Embedded Vision Alliance, you'd expect me to harbor such a belief, right? Keep in mind, though, that along with containing cameras, many (most? all?) of these systems offer network connectivity; wired, Wi-Fi, cellular, etc.
January 30, 2013

Embedded Vision: Assisting Those With Vision Limitations

Speaking of Apple's attempt to compensate for people's imperfections, the last paragraph of my previous writeup: Parziale also notes that the feature is optimized for the visually impaired thanks to VoiceOver in OS X. “VoiceOver helps positioning the card in front of the camera and the very fast image processing algorithm generates very quickly the result,” according to Parziale. “The user experience is amazing.”
January 30, 2013

Embedded Vision: Assisting Those With Patience Limitations

Back in mid-December, I discussed the barcode as a pioneering computer-now-embedded vision application, in the context of reporting the death of its co-inventor, N. Joseph Woodland. As such, a related (and more advanced) OCR (optical character recognition) innovation from Apple that came out around the same time also caught my eye.
January 11, 2013

Image Processing And Computer Vision In Boston: Speaking Is A Desired Option

Last September, I told you about two upcoming meetings of the then-embryonic Boston Image Processing and Computer Vision Group (BIPCVG).
December 29, 2012

Panorama Multi-Image Stitching: Clever Software Simplifies And Optimizes Capturing

Earlier this month, BDTI senior software engineer Eric Gregori and I delivered a technology trends presentation on embedded vision in mobile electronics devices at the Embedded Vision Alliance Member Summit, the video of which is currently being edited and I hope to publish soon here on the site. One of the key application areas that we discussed in depth is computational photography, which Wikipedia defines as:
December 29, 2012

Post-Capture Selective Focus: A Video-Capable DSLR Lets You Put The Concept To The Test

Interested in trying out plenoptic light field camera technology, but don't have access to a Lytro camera (or for that matter, a Toshiba sensor prototype)?
December 29, 2012

Post-Capture Selective Focus: Toshiba's Prototype Puts Lytro On Notice

Plenoptic camera technology, most commonly known nowadays by virtue of Lytro's ongoing promotion of the concept (and sales of the first-generation implementation), has received primary mainstream attention to date because the light field-based approach allows for post-capture selective focus on particular depth regions of an image.