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Journal ArticleDOI

Object modelling by registration of multiple range images

Yang Chen, +1 more
- 01 Apr 1992 - 
- Vol. 10, Iss: 3, pp 145-155
TLDR
A new approach is proposed which works on range data directly and registers successive views with enough overlapping area to get an accurate transformation between views and is performed by minimizing a functional which does not require point-to-point matches.
About
This article is published in Image and Vision Computing.The article was published on 1992-04-01. It has received 2850 citations till now. The article focuses on the topics: Object model & Transformation (function).

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Citations
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Proceedings ArticleDOI

KinectFusion: Real-time dense surface mapping and tracking

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.
Journal ArticleDOI

A pyramid approach to subpixel registration based on intensity

TL;DR: An automatic subpixel registration algorithm that minimizes the mean square intensity difference between a reference and a test data set, which can be either images (two-dimensional) or volumes (three-dimensional).
Proceedings ArticleDOI

Topology matching for fully automatic similarity estimation of 3D shapes

TL;DR: A novel technique is proposed, called Topology Matching, in which similarity between polyhedral models is quickly, accurately, and automatically calculated by comparing Multiresolutional Reeb Graphs (MRGs), which operates well as a search key for 3D shape data sets.
Proceedings ArticleDOI

KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera

TL;DR: 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.
Journal ArticleDOI

Iterative point matching for registration of free-form curves and surfaces

TL;DR: A heuristic method has been developed for registering two sets of 3-D curves obtained by using an edge-based stereo system, or two dense3-D maps obtained by use a correlation-based stereoscopic system, and it is efficient and robust, and yields an accurate motion estimate.
References
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Book

Perceptual Organization and Visual Recognition

David G. Lowe
TL;DR: Spatial organization and recognition are shown to be a practical basis for current systems and to provide a promising path for further development of improved visual capabilities.
Journal ArticleDOI

3DPO: a three-dimensional part orientation system

TL;DR: This paper presents a system that recognizes objects in a jumble, verifies them, and then determines some essential configurational information, such as which ones are on top, by analyzing the patterns of range data predicted from all the hypotheses.
Journal ArticleDOI

Recognizing 3-D objects using surface descriptions

TL;DR: The authors provide a complete method for describing and recognizing 3-D objects, using surface information, by taking as input dense range date and automatically producing a symbolic description of the objects in the scene in terms of their visible surface patches.
Journal ArticleDOI

Representation and Shape Matching of 3-D Objects

TL;DR: A three-dimensional scene analysis system for the shape matching of real world 3-D objects is presented and the results are shown on several unknown views of a complicated automobile casting.
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