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
Reads0
Chats0
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:
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
More filters
Journal ArticleDOI
Real-time 3D reconstruction from single-photon lidar data using plug-and-play point cloud denoisers.
Julián Tachella,Yoann Altmann,Nicolas Mellado,Aongus McCarthy,Rachael Tobin,Gerald S. Buller,Jean-Yves Tourneret,Stephen McLaughlin +7 more
TL;DR: In this article, a new computational framework for real-time 3D scene reconstruction from single-photon data is proposed, which can handle an unknown number of surfaces in each pixel, allowing for target detection and imaging through cluttered scenes.
Proceedings ArticleDOI
Edge guided single depth image super resolution
TL;DR: A novel framework for single depth image super resolution guided by a high resolution edge map constructed from the edges in the low resolution depth image via a Markov Random Field (MRF) optimization is proposed.
Proceedings ArticleDOI
Sparse depth super resolution
Jiajun Lu,David Forsyth +1 more
TL;DR: A method to produce detailed high resolution depth maps from aggressively subsampled depth measurements using an image combined with a low resolution depth map that outperforms recent state of the art methods quantitatively and qualitatively.
Proceedings ArticleDOI
A Deep Primal-Dual Network for Guided Depth Super-Resolution
TL;DR: A novel method to increase the spatial resolution of depth images by combining a deep fully convolutional network with a non-local variational method in a deep primal-dual network that outperforms the state-of-the-art on multiple benchmarks.
Proceedings ArticleDOI
Air-ground localization and map augmentation using monocular dense reconstruction
TL;DR: A novel algorithm integrating dense reconstructions from monocular views, Monte Carlo localization, and an iterative pose refinement is presented, which achieves high accuracy whereas appearance-based, state-of-the-art approaches fail.
References
More filters
Journal ArticleDOI
A method for registration of 3-D shapes
Paul J. Besl,H.D. McKay +1 more
TL;DR: In this paper, the authors describe a general-purpose representation-independent method for the accurate and computationally efficient registration of 3D shapes including free-form curves and surfaces, based on the iterative closest point (ICP) algorithm, which requires only a procedure to find the closest point on a geometric entity to a given point.
Book
Multiple view geometry in computer vision
Richard Hartley,Andrew Zisserman +1 more
TL;DR: In this article, the authors provide comprehensive background material and explain how to apply the methods and implement the algorithms directly in a unified framework, including geometric principles and how to represent objects algebraically so they can be computed and applied.
Multiple View Geometry in Computer Vision.
TL;DR: This book is referred to read because it is an inspiring book to give you more chance to get experiences and also thoughts and it will show the best book collections and completed collections.
Book
Level Set Methods and Dynamic Implicit Surfaces
Stanley Osher,Ronald Fedkiw +1 more
TL;DR: A student or researcher working in mathematics, computer graphics, science, or engineering interested in any dynamic moving front, which might change its topology or develop singularities, will find this book interesting and useful.
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.