Proceedings ArticleDOI
KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera
Shahram Izadi,David Kim,Otmar Hilliges,David Molyneaux,Richard Newcombe,Pushmeet Kohli,Jamie Shotton,Steve Hodges,Dustin Freeman,Andrew J. Davison,Andrew Fitzgibbon +10 more
- pp 559-568
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TLDR
Novel extensions to the core GPU pipeline demonstrate object segmentation and user interaction directly in front of the sensor, without degrading camera tracking or reconstruction, to enable real-time multi-touch interactions anywhere.Abstract:Â
KinectFusion enables a user holding and moving a standard Kinect camera to rapidly create detailed 3D reconstructions of an indoor scene. Only the depth data from Kinect is used to track the 3D pose of the sensor and reconstruct, geometrically precise, 3D models of the physical scene in real-time. The capabilities of KinectFusion, as well as the novel GPU-based pipeline are described in full. Uses of the core system for low-cost handheld scanning, and geometry-aware augmented reality and physics-based interactions are shown. Novel extensions to the core GPU pipeline demonstrate object segmentation and user interaction directly in front of the sensor, without degrading camera tracking or reconstruction. These extensions are used to enable real-time multi-touch interactions anywhere, allowing any planar or non-planar reconstructed physical surface to be appropriated for touch.read more
Citations
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Journal ArticleDOI
A robotic approach to mapping post-eruptive volcanic fissure conduits
Carolyn Parcheta,Catherine Pavlov,Nicholas Wiltsie,Kalind Carpenter,Jeremy Nash,Aaron Parness,Karl L. Mitchell +6 more
TL;DR: VolcanoBot as discussed by the authors uses a PrimeSense Carmine 1.09 sensor for mapping and carries an IR temperature sensor, analog distance sensor, and an inertial measurement unit (IMU) inside a protective shell.
Book ChapterDOI
3-D Geometry Enhanced Superpixels for RGB-D Data
TL;DR: A novel 3-D geometry enhanced superpixels for RGB-D data is introduced that is able to distinguish objects in similar colors due to the introduced 3- D geometry and achieves the best segmentation results compared with three state-of-the-art segmentation methods.
Proceedings Article
3D reconstruction with mirrors and RGB-D cameras
Abdullah Akay,Yusuf Sinan Akgul +1 more
TL;DR: A solution that employs mirrors to introduce virtual RGB-D cameras into the system does not have any space limitations, data bandwidth constraints, synchronization problems and it is cheaper because it does not require extra cameras.
Posted Content
A Deep Primal-Dual Network for Guided Depth Super-Resolution
TL;DR: In this paper, the authors combine a deep fully convolutional network with a non-local variational method in a deep primal-dual network, which computes a noise free, high-resolution estimate from a noisy, low-resolution input depth map.
Journal ArticleDOI
Sensor Architectures and Technologies for Upper Limb 3D Surface Reconstruction: A Review.
TL;DR: An overview of the state of the art of optical technologies and sensor architectures for the surface acquisition of upper limb anatomies is presented and a categorization of the approaches based on handling, pre/post-processing effort, and potentialities in real-time scanning is proposed.
References
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Proceedings ArticleDOI
KinectFusion: Real-time dense surface mapping and tracking
Richard Newcombe,Shahram Izadi,Otmar Hilliges,David Molyneaux,David Kim,Andrew J. Davison,Pushmeet Kohi,Jamie Shotton,Steve Hodges,Andrew Fitzgibbon +9 more
TL;DR: A system for accurate real-time mapping of complex and arbitrary indoor scenes in variable lighting conditions, using only a moving low-cost depth camera and commodity graphics hardware, which fuse all of the depth data streamed from a Kinect sensor into a single global implicit surface model of the observed scene in real- time.