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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Patent
Systems and Methods for Detecting Defective Camera Arrays and Optic Arrays
TL;DR: In this paper, the authors described a system for detecting defective camera arrays, optic arrays and/or sensors. But their method is limited to the case when the number of localized defects in a specific set of image regions exceeds a predetermined threshold, where the specific set is formed by a common corresponding image region from at least a subset of the captured images.
Proceedings ArticleDOI
High Quality Structure from Small Motion for Rolling Shutter Cameras
TL;DR: A novel 3D reconstruction method from narrow-baseline image sequences that effectively handles the effects of a rolling shutter that occur from most of commercial digital cameras is introduced and consistently generates better 3D depth maps than those by the state-of-the-art method.
Journal ArticleDOI
Depth edge detection by image-based smoothing and morphological operations
TL;DR: This technique will aid to detect edges robustly from depth images and contribute to promote applications in depth images such as object detection, object segmentation, etc.
Proceedings ArticleDOI
JackIn space: designing a seamless transition between first and third person view for effective telepresence collaborations
TL;DR: The evaluation supports that the concept and the function of JackIn Space was quite well accepted and the prototype system provides a more natural viewpoint selection, which supports better remote collaborations.
Proceedings ArticleDOI
Real-time Scalable Dense Surfel Mapping
TL;DR: Zhang et al. as discussed by the authors used a sparse SLAM system to estimate camera poses, which can fuse intensity images and depth images into a globally consistent model, and further organized surfels according to the pose graph to achieve O(1) fusion time regardless of the scale of reconstructed models.
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.