Computer vision

Do you speak neural network?

Neural networks will be the common language of the future for computer vision, according to Professor Jitendra Malik from UC Berkeley. Greg Blackman listened to his keynote at the Embedded Vision Summit in Santa Clara

What can drones learn from bees?

Dr Andrew Schofield, who leads the Visual Image Interpretation in Human and Machines network in the UK, asks what computer vision can learn from biological vision, and how the two disciplines can collaborate better

Finding 3D pose with a monocular camera

As winner of the EMVA Young Professional Award 2014, presented at the recent EMVA business conference, Jakob Engel, a PhD student in the Computer Vision Group at the Technical University of Munich, updates on the potential 3D imaging applications for his novel approach to real-time visual odometry using a monocular camera

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