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  1. Journal of Computer Science and Technology
  2. Journal of Computer Science and Technology : Volume 13
  3. Journal of Computer Science and Technology : Volume 13, Issue 5, September 1998
  4. Range information propagation transform
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Journal of Computer Science and Technology : Volume 32
Journal of Computer Science and Technology : Volume 31
Journal of Computer Science and Technology : Volume 30
Journal of Computer Science and Technology : Volume 29
Journal of Computer Science and Technology : Volume 28
Journal of Computer Science and Technology : Volume 27
Journal of Computer Science and Technology : Volume 26
Journal of Computer Science and Technology : Volume 25
Journal of Computer Science and Technology : Volume 24
Journal of Computer Science and Technology : Volume 23
Journal of Computer Science and Technology : Volume 22
Journal of Computer Science and Technology : Volume 21
Journal of Computer Science and Technology : Volume 20
Journal of Computer Science and Technology : Volume 19
Journal of Computer Science and Technology : Volume 18
Journal of Computer Science and Technology : Volume 17
Journal of Computer Science and Technology : Volume 16
Journal of Computer Science and Technology : Volume 15
Journal of Computer Science and Technology : Volume 14
Journal of Computer Science and Technology : Volume 13
Journal of Computer Science and Technology : Volume 13, Issue 6, November 1998
Journal of Computer Science and Technology : Volume 13, Issue 5, September 1998
A new definition of the Hough transform
Hardware assisted fast volume rendering with boundary enhancement
A multiscale approach to automatic medical image segmentation using self-organizing map
A new algorithm for two-dimensional line clipping via geometric transformation
Element-partition-based methods for visualization of 3D unstructured grid data
Center-distance continuous probability models and the distance measure
Range information propagation transform
Modeling distributed multimedia synchronization with DSPN
Research on the optimal parallel algorithms of broadcast-class problems
A neural network model based on logical operations
The supervised learning Gaussian mixture model
An image-based virtual reality prototype system
Journal of Computer Science and Technology : Volume 13, Issue 4, July 1998
Journal of Computer Science and Technology : Volume 13, Issue 3, May 1998
Journal of Computer Science and Technology : Volume 13, Issue 2, March 1998
Journal of Computer Science and Technology : Volume 13, Issue 1, January 1998
Journal of Computer Science and Technology : Volume 12

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Range information propagation transform

Content Provider SpringerLink
Author Lin, Xueyin Chen, Xiangrong Zhu, Zhigang Shi, Dingji
Copyright Year 1998
Abstract A novel method of model-based object recognition is presented in this paper. Its novelty stems from the fact that the gray level image captured by a camera is merged with sparse range information in an active manner. By using a projective transform, which is determined by the sparse range data, features (e.g. edge points) related to a single planar surface patch or figure in the scene can be assigned with their corresponding range values respectively. As a result, the shape of the very planar patch or figure can be recovered and various kinds of description in the Euclidean space can be calculated. Based on these descriptions values, the hypothesis about the identification of the object and its pose in space can be obtained with a high probability of success, and a high efficiency of hypothesis-verification process can be expected. Another advantage of this method is that the edge detection process can be navigated to the proper location hinted by the sparse range image. In consequence edge features can be extracted even in the regions with low contrast. In this paper the principle of range information propagation transform (RIPT) is explained, and some implementation issues, such as the algorithms using calibrated or uncalibrated gray level image for object recognition, are discussed. The preliminary experimental results are presented to indicate the effectiveness and efficiency of the proposed method.
Starting Page 438
Ending Page 447
Page Count 10
File Format PDF
ISSN 10009000
Journal Journal of Computer Science and Technology
Volume Number 13
Issue Number 5
e-ISSN 18604749
Language English
Publisher Science Press
Publisher Date 1998-01-01
Publisher Place Beijing
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Object recognition RIPT projective transform range data processing Computer Science Software Engineering Theory of Computation Data Structures, Cryptology and Information Theory Artificial Intelligence (incl. Robotics) Information Systems Applications (incl.Internet)
Content Type Text
Resource Type Article
Subject Theoretical Computer Science Computational Theory and Mathematics Computer Science Applications Software Hardware and Architecture
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