XPONENTIAL - UAS Magazine Announces UAS Energy In Sight Summit Co-Located at AUVSI's 2016 Xponential in New Orleans
Anything Technologies Media Inc., Completes Acquisition of GSP an Innovative Technology Company focused on the Development of Drones
IEEE Standards Association Introduces Global Initiative for Ethical Considerations in the Design of Autonomous Systems
The New Mobile App from Festo Enables Fast Delivery of Parts, Greater Productivity, and Lower Inventory Cost
Efficient 3D Object Segmentation from Densely Sampled Light Fields with Applications to 3D Reconstruction
From Kaan Yücer, Alexander Sorkine-Hornung, Oliver Wang, Olga Sorkine-Hornung:
Precise object segmentation in image data is a fundamental problem with various applications, including 3D object reconstruction. We present an efficient algorithm to automatically segment a static foreground object from highly cluttered background in light fields. A key insight and contribution of our paper is that a significant increase of the available input data can enable the design of novel, highly efficient approaches. In particular, the central idea of our method is to exploit high spatio-angular sampling on the order of thousands of input frames, e.g. captured as a hand-held video, such that new structures are revealed due to the increased coherence in the data. We first show how purely local gradient information contained in slices of such a dense light field can be combined with information about the camera trajectory to make efficient estimates of the foreground and background. These estimates are then propagated to textureless regions using edge-aware filtering in the epipolar volume. Finally, we enforce global consistency in a gathering step to derive a precise object segmentation both in 2D and 3D space, which captures fine geometric details even in very cluttered scenes. The design of each of these steps is motivated by efficiency and scalability, allowing us to handle large, real-world video datasets on a standard desktop computer... (paper)
Rising Media to hold the 3rd annual 'Inside 3D Printing Conference & Expo,' Asia's largest 3D Printing Tradeshow on June 22-24, 2016 in Seoul
Endeavor Robotics the Industry's Leading Ground Robot Company Goes Private to Capitalize on Emerging Opportunities
Worcester Polytechnic Institute Professor Receives Grant to Assist U.S. Air Force in Unmanned Aerial Vehicle Research
Roy Bishop for The Japan Times: Child care is a hard job, but somebody, or something, has got to do it.
Japanese researchers have developed androids to meet that need, which includes happily reading that fairy tale again and again and again.
The androids, which were created by a team of education and robotics specialists at a research facility in Abiko, Chiba Prefecture, are part of a larger system called RoHo Care. Short for Robotic Hoikujo (day care center), RoHo is being touted as a high-tech solution to the staffing crisis that forced the Health, Labor and Welfare Ministry to announce emergency measures this week.
“I never thought I’d see this day, but we’re now confident that RoHo could blaze a trail for child care worldwide,” said team leader Makoto Hara.
At a briefing on Thursday, Hara introduced a “care-droid” prototype named Or-B, the core component of RoHo’s vision for day care assistance, and said it will undergo a trial run this summer before full-scale implementation in 2018. Cont'd...
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