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SLAM++: Simultaneous Localisation and Mapping at the Level of Objects - YouTube

The authors present  a new 'object oriented' 3D SLAM paradigm, which takes full advantage in the loop of prior knowledge that many scenes  consist of repeated, domain-specific objects and structures.


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$8m Microsoft Kinect research centre opens in Melbourne

$8m Microsoft Kinect research centre opens in Melbourne | interactive_cv | Scoop.it
A new high tech research centre has opened in Melbourne as a result of a partnership between Microsoft and the University of Melbourne, which will investigate the social uses and applications for natural user interfaces popularised by Xbox Kinect.

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Perceptual Computing ― Intel® RealSense™ Technology

Perceptual Computing ― Intel® RealSense™ Technology | interactive_cv | Scoop.it

Intel® RealSense™ technology enables perceptive devices to understand sensory input through voice-, touch-, face-, and movement-supported platforms.


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MIT $500 Nano-Camera Takes 3-D Photos, Operates At Speed Of Light.

MIT $500 Nano-Camera Takes 3-D Photos, Operates At Speed Of Light. | interactive_cv | Scoop.it

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Reduced dimensionality EKF for SLAM

Reduced dimensionality EKF for SLAM | interactive_cv | Scoop.it

This paper from Tom Drummond (Monash University) presents a method for reducing the computational complexity of Kalman Filters where large numbers of dimensions have no process noise (e.g. in SLAM)


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New Metaio 3-D Markerless Tracking


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CVScoops's curator insight, September 24, 2013 7:37 AM

MetaIO demonstrates 3D markerless tracking based on edge detection and matching with a CAD model.

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User friendly SLAM initialization

The development of new Simultaneous Localization and Mapping (SLAM) techniques is quickly advancing in research communities and rapidly transitioning into commercial products. Creating accurate and high-quality SLAM maps relies on a robust initialization process. However, the robustness and usability of SLAM initialization for end-users has often been disregarded. This paper presents and evaluates a novel tracking system for 6DOF pose tracking between a single keyframe and the current camera frame, without any prior scene knowledge. Our system is particularly suitable for SLAM initialization, since it allows 6DOF pose tracking in the intermediate frames before a wide-enough baseline between two keyframes has formed. We investigate how our tracking system can be used to interactively guide users in performing an optimal motion for SLAM initialization. However, our findings from a pilot study indicate that the need for such motion can be completely hidden from the user and outsourced to our tracking system. Results from a second user study show that letting our tracking system create a SLAM map as soon as possible is a viable and usable solution. Our work provides important insight for SLAM systems, showing how our novel tracking system can be integrated with a user interface to support fast, robust and user-friendly SLAM initialization.


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Reduced dimensionality EKF for SLAM

Reduced dimensionality EKF for SLAM | interactive_cv | Scoop.it
This paper from Tom Drummond (Monash University) presents a method for reducing the computational complexity of Kalman Filters where large numbers of dimensions have no process noise (e.g. in SLAM)
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WorldKit projector turns everything into a touchscreen

WorldKit projector turns everything into a touchscreen | interactive_cv | Scoop.it
Robert Xiao, a PhD candidate at Carnegie Mellon and lead researcher on the project, explained that WorldKit uses a depth camera to sense where flat surfaces are in your environment...
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PMD and Infineon show off CamBoard Pico and Pico S, tiny 3D depth cameras for integration (video)

PMD and Infineon show off CamBoard Pico and Pico S, tiny 3D depth cameras for integration (video) | interactive_cv | Scoop.it
After checking out SoftKinetic's embedded 3D depth camera earlier this week, our attention was brought to a similar offering coming from Germany's PMD

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Steve Mann: My “Augmediated” Life

Steve Mann: My “Augmediated” Life | interactive_cv | Scoop.it
What I’ve learned from 35 years of wearing computerized eyewear

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SLAM++: Simultaneous Localisation and Mapping at the Level of Objects - YouTube

The authors present  a new 'object oriented' 3D SLAM paradigm, which takes full advantage in the loop of prior knowledge that many scenes  consist of repeated, domain-specific objects and structures.


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New York tests video analytics for foot traffic

New York tests video analytics for foot traffic | interactive_cv | Scoop.it

New York City is testing a new application that analyzes video streams of the city's streets to glean data about pedestrian traffic patterns.


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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.


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Televised Sailing Gets a Dose of Augmented Reality

Televised Sailing Gets a Dose of Augmented Reality | interactive_cv | Scoop.it

New augmented reality techniques provide perspectives and information never before available to spectators: the tracks of the boats through the water, course boundaries, penalties issued, wind direction, speed, and other things that significantly affect the outcome of the race.


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User friendly SLAM initialization

The development of new Simultaneous Localization and Mapping (SLAM) techniques is quickly advancing in research communities and rapidly transitioning into commercial products. Creating accurate and high-quality SLAM maps relies on a robust initialization process. However, the robustness and usability of SLAM initialization for end-users has often been disregarded. This paper presents and evaluates a novel tracking system for 6DOF pose tracking between a single keyframe and the current camera frame, without any prior scene knowledge. Our system is particularly suitable for SLAM initialization, since it allows 6DOF pose tracking in the intermediate frames before a wide-enough baseline between two keyframes has formed. We investigate how our tracking system can be used to interactively guide users in performing an optimal motion for SLAM initialization. However, our findings from a pilot study indicate that the need for such motion can be completely hidden from the user and outsourced to our tracking system. Results from a second user study show that letting our tracking system create a SLAM map as soon as possible is a viable and usable solution. Our work provides important insight for SLAM systems, showing how our novel tracking system can be integrated with a user interface to support fast, robust and user-friendly SLAM initialization.


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What is lane departure warning, and how does it work?

What is lane departure warning, and how does it work? | interactive_cv | Scoop.it
Drifting out of lane? LDW warns when you drift, while lane keep assist corrects your course automatically. As long as you keep your hands lightly on the steering wheel, the best systems will turn your car into a self-driving car.
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New camera sensor borrows human retina tech to capture images at 1000+ FPS

New camera sensor borrows human retina tech to capture images at 1000+ FPS | interactive_cv | Scoop.it
Acquiring images as a succession of frames is one way to get the job done, but it is not the best way.
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Emerging Technologies | SIGGRAPH 2013

Emerging Technologies | SIGGRAPH 2013 | interactive_cv | Scoop.it

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CVScoops's curator insight, May 20, 2013 12:56 AM

SIGGRAPH issued its 2013 list of Emerging Technologies. Emerging Technologies presents innovative technologies and applications in several fields, from displays and input devices to collaborative environments and robotics, and technologies that apply to film and game production.

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Intel developing depth camera for next-gen notebooks

Intel developing depth camera for next-gen notebooks | interactive_cv | Scoop.it

During an event at Computex this week, Intel VP Kirk Skaugen revealed that the chip giant has been quietly working on camera technology.


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Assessment of KAZE features

Assessment of KAZE features | interactive_cv | Scoop.it

Assessment of the KAZE Feature Detector and Descriptor recently proposed by P. Alcantarilla and A. Davison showing promising results.


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