Dense scene reconstruction with points of interest
- 21 July 2013
- journal article
- research article
- Published by Association for Computing Machinery (ACM) in ACM Transactions on Graphics
- Vol. 32 (4), 1-8
- https://doi.org/10.1145/2461912.2461919
Abstract
We present an approach to detailed reconstruction of complex real-world scenes with a handheld commodity range sensor. The user moves the sensor freely through the environment and images the scene. An offline registration and integration pipeline produces a detailed scene model. To deal with the complex sensor trajectories required to produce detailed reconstructions with a consumer-grade sensor, our pipeline detects points of interest in the scene and preserves detailed geometry around them while a global optimization distributes residual registration errors through the environment. Our results demonstrate that detailed reconstructions of complex scenes can be obtained with a consumer-grade camera.Keywords
Funding Information
- Microsoft
This publication has 24 references indexed in Scilit:
- Octree-based fusion for realtime 3D reconstructionGraphical Models, 2013
- Accuracy and Resolution of Kinect Depth Data for Indoor Mapping ApplicationsSensors, 2012
- A comparison of loop closing techniques in monocular SLAMRobotics and Autonomous Systems, 2009
- Global non-rigid alignment of 3-D scansACM Transactions on Graphics, 2007
- Principles of Appearance Acquisition and RepresentationFoundations and Trends® in Computer Graphics and Vision, 2007
- Fully automatic registration of multiple 3D data setsImage and Vision Computing, 2003
- Mean shift: a robust approach toward feature space analysisIEEE Transactions on Pattern Analysis and Machine Intelligence, 2002
- Real-time 3D model acquisitionACM Transactions on Graphics, 2002
- Fast approximate energy minimization via graph cutsIEEE Transactions on Pattern Analysis and Machine Intelligence, 2001
- Object modelling by registration of multiple range imagesImage and Vision Computing, 1992