Augmented reality technologies
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DTSLAM: Deferred Triangulation for Robust SLAM - YouTube

The paper and demo was shown in IEEE 3DV (3D Vision) 2014 at Tokyo, Japan. The code for this project is under BSD license and shared at : https://github.com/...
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Semi-Dense Visual Odometry for a Monocular Camera (ICCV '13)

The authors propose a fundamentally novel approach to real-time visual odometry for a monocular camera. It allows to ben- efit from the simplicity and accuracy of dense tracking -- which does not depend on visual features -- while running in real-time on a CPU. The key idea is to continuously esti- mate a semi-dense inverse depth map for the current frame, which in turn is used to track the motion of the camera using dense image alignment. More specifically, they estimate the depth of all pixels which have a non-negligible image gradi- ent. Each estimate is represented as a Gaussian probability distribution over the inverse depth. They propagate this in- formation over time, and update it with new measurements as new images arrive.The method runs in real-time on a CPU.


Via CVScoops, Maxime Cottret, Ludovic Brèthes
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La mystérieuse «réalité cinématique» de Magic Leap affole la Silicon Valley

La mystérieuse «réalité cinématique» de Magic Leap affole la Silicon Valley | Augmented reality technologies | Scoop.it
Cette startup travaillerait sur une nouvelle technologie de réalité augmentée simulant la vision humaine...

Via JP Fourcade, Ludovic Brèthes, Benjamin Coudrin
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How DARPA's Augmented Reality Software Works

How DARPA's Augmented Reality Software Works | Augmented reality technologies | Scoop.it

Why is the military succeeding where Google Glass failed?


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Movidius Redefines Computer Vision

Movidius Redefines Computer Vision | Augmented reality technologies | Scoop.it

Movidius Myriad 1 vision processing unit (VPU) (used inside Google's Tango prototype) -- a handset that, for one thing, can map 3D spaces just by walking through them.


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Learning to be a depth camera for close-range human capture and interaction

Amachine learning technique for estimating absolute, per-pixel depth using any conventional monocular 2D camera, with minor hardware modifications.


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Dense Planar SLAM

The Dense Planar SLAM system seamlessly map an environment using planar and non-planar regions while tracking the sensor pose in real-time. 


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▶ Live CV - Real Time Computer Vision Coding - YouTube

Live CV is a computer vision coding environment that displays results in real time. It can be used to interact, link and adjust algorithms in order to create quick solutions within it's domain


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LSD-SLAM: Large-Scale Direct Monocular SLAM (ECCV '14)

LSD-SLAM is a novel, direct monocular SLAM technique: Instead of using keypoints, it directly operates on image intensities both for tracking and mapping. The camera is tracked using direct image alignment, while geometry is estimated in the form of semi-dense depth maps, obtained by filtering over many pixelwise stereo comparisons. We then build a Sim(3) pose-graph of keyframes, which allows to build scale-drift corrected, large-scale maps including loop-closures. LSD-SLAM runs in real-time on a CPU, and even on a modern smartphone.


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SVO: Fast Semi-Direct Monocular Visual Odometry - YouTube

SVO: Fast Semi-Direct Monocular Visual Odometry - YouTube | Augmented reality technologies | Scoop.it

We propose a semi-direct monocular visual odometry algorithm that is precise, robust, and faster than current state-of-the-art methods. The semi-direct appro...


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Robust 3D Tracking with Descriptor Fields [CVPR 2014]

A. Crivellaro and V. Lepetit. "Robust 3D Tracking with Descriptor Fields". CVPR 2014


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Thermal Touch - A New Augmented Reality Interface for Wearables

Thermal Touch is a vision of the near future for wearable computing user interfaces. By fusing information from an infrared and standard camera, nearly any surface can become a touchscreen.


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LSD-SLAM: Large-Scale Direct Monocular SLAM (ECCV '14)

LSD-SLAM is a novel, direct monocular SLAM technique: Instead of using keypoints, it directly operates on image intensities both for tracking and mapping. The camera is tracked using direct image alignment, while geometry is estimated in the form of semi-dense depth maps, obtained by filtering over many pixelwise stereo comparisons. We then build a Sim(3) pose-graph of keyframes, which allows to build scale-drift corrected, large-scale maps including loop-closures. LSD-SLAM runs in real-time on a CPU, and even on a modern smartphone.


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3D Sensor Equipped Laptops and Tablets Coming Later This Year -

3D Sensor Equipped Laptops and Tablets Coming Later This Year - | Augmented reality technologies | Scoop.it

On Wednesday, at the annual Developers Conference, international chip manufacturer Intel said that laptops with 3D sensors instead of traditional webcams will be on sale before the end of the year, thanks to the company providing the technology. Also, tablets with the same functionality will be hitting the shelves sometime in 2015.    


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