Category Archives: computer vision

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LDV Vision Summit : A recap

Tell me something I don’t know. Every year, this is the challenge raised by the LDV Vision Summit in front of an audience made of experts in their fields, scientists, researchers, founders, CEO’s, investors and pundits. And every year, the same reaction: Wow, I didn’t know that. The 2016 edition, which just closed a few days ago, did not disappoint. In a field where breakthroughs are seemingly far between, there is still room for anyone to discover research, studies, applications or companies that reveal yet another…

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It’s coming! The Internet of Eyes will allow objects to see

In the near future, every inanimate object we interact with may not only have the ability to see, but could also improve our lives. In order for this visibility to happen, objects will need the assistance of visual sensors and cameras. Though hotly debated in privacy sectors, experts agree that dozens of tiny cameras and eventually nano cameras will soon be built into objects, providing devices the ability to see from every angle and in real time. As Serge Belongie, Professor of Computer Vision at…

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10 Questions for a CMO: FLIR

There is more to the world around us than we can see. Much more. While we compensate for that lack of vision with our other senses, like touch or smell, machines do have this luxury. Thermal sensors, who can capture and render heat signatures, fill in this void and combined with advance imaging, deliver far deeper insight on our environment, even to humans.  We caught up with Travis Merill, CMO of FLIR, a global leader in  thermal imaging, who reveals how critical this technology has…

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10 Questions for a 3D vision engineer : Gaile Gordon

Machine vision is partially blind. Of all the information a camera can capture, one essential part is always missing. Unlike popular belief, 3D capture is not about rendering a 3D environment but rather giving vision sensors the power to integrate depth, very much as our own eyes ( and brain) perform.  How we perceive and understand our world is very much influenced by our ability to integrate spatial dimension. Gaile Gordon, senior director of Technology at Enlighted, who has spent most of her career researching 3D…

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10 Questions for an investor: IBM Watson

After Watson’s success at winning Jeopardy competitions, IBM created a whole new business unit entirely dedicated to taking advantage of its impressive capabilities. Using cloud computing and  cognitive A.I., the IBM Watson ecosystem can process language, text, image, speech or data as input for anyone at any scale. Realizing that the biggest promises reside in the uncharted startup world, it soon dedicated a $100 M investment fund. Ahead of his participation as a judge at the LDV Vision Summit startup competition,  we sat down with…

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Abelardo Morell

The Camera of the Future = No Camera

For thousands of years humans have engaged in making visual records of the world around them. From the earliest Ice Age animal cave paintings to birthday photos of our children, a common value seems to be expressing itself through our ever evolving technologies and skills that create “visual likeness.” Charcoal, ink, dye, pigments — these were the earliest materials. But it was the technological innovation of the camera and light-sensitive materials over 170 years ago that truly changed the game and the trajectory. Consumer digital imaging sensors are…

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LDV Vision summit : Analyzing Satellite Imagery

One of the lesser known application of data mining from images is satellite imagery. Mostly because it services businesses more than  consumers. However, the combination of much larger pools of available images and advances in neural networks has made it one of the most promising and exciting field of visual tech. Second transcript from last year’s LDV Vision Summit, we give you Analyzing Satellite Imagery by James Crawford, Founder, Orbital Insight I am James Crawford from Orbital Insight. our Company is based on—as many software companies…

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LDV Vision Summit : Computational Photography and video

As a refresher for those who did make it and a discovery for those who couldn’t, we will be publishing a series of transcripts from last year’s LDV Vision Summit.  First on our list is this conversation around computational photography and video from some of the top experts in the field: Moderator: Evan Nisselson, LDV Capital Panelists: Michael Cohen, Principal Researcher, Microsoft Research *,  Paul Green, CTO & Co-Founder, Algolux and Ramesh Raskar, Associate Professor, MIT Media Lab Evan Nisselson: I’d like to invite up our panelists—Michael…

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What to watch for in 2016

The 2015 year ends pretty much as it started. Some promises were delivered, some fell short. At least for now. With mobile continuing to dominate as the number one gateway to the online experience and visual being its strongest appeal, one would have thought that visual tech would have exploded by now. But not yet. At least not at full capacity. While image advertising has taken a foothold on all major social media site, with Facebook, Instagram and Pinterest adding a “buy” button within  photos,…

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Visual recognition goes mainstream : Clarifai launches the Forevery app

When the 1,000-pound gorilla eats your lunch, you eat his breakfast:  Right on the heel of Google’s opening its visual recognition API for free to anyone, Clarifai launches today a free consumers app that can store and classify photo which could very well give a run for its money to Google’s Photo app. Constructed entirely on the company’s award-winning  deep learning visual recognition engine, the  Forevery app might become the favorite companion of every mobile shutterbug out there. The process is simple. Import your images and…

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