IEEE Transactions on Pattern Analysis and Machine Intelligence
Scale-Based Description and Recognition of Planar Curves and Two-Dimensional Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Segmentation of edges into lines and arcs
Image and Vision Computing
On the Detection of Dominant Points on Digital Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bit-level systolic arrays for digital contour smoothing
Recent issues in pattern analysis and recognition
Adaptive Smoothing: A General Tool for Early Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Segmentation of digital plane curves: a dynamic focusing approach
Pattern Recognition Letters
Pattern Recognition Letters
Real-Time Imaging: Theory, Techniques, and Application
Real-Time Imaging: Theory, Techniques, and Application
Introduction to Real-Time Imaging
Introduction to Real-Time Imaging
Digital Image Processing Algorithms and Applications
Digital Image Processing Algorithms and Applications
Computer Vision: A Modern Approach
Computer Vision: A Modern Approach
Digital Curves in 3D Space and a Linear-Time Length Estimation Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Recognition Letters
Implementation of 3-D Adaptive LUM Smoother in Reconfigurable Hardware
FPL '02 Proceedings of the Reconfigurable Computing Is Going Mainstream, 12th International Conference on Field-Programmable Logic and Applications
A Comparative Evaluation of Length Estimators of Digital Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
cDNA microarray image processing using fuzzy vector filtering framework
Fuzzy Sets and Systems
Image-based visual servo control of aerial robotic systems using linear image features
IEEE Transactions on Robotics
| Hi-index | 0.00 |
In this paper an efficient procedure for 3D digital curve smoothing is presented. It is described by linear operators which allow to perform the constrained, position invariant, least-squares smoothing of 3D digital curves minimizing the undersampling, digitizing and quantizing error and to calculate various curve characteristics and invariants related to the original digitized curve. They are represented by sparse symmetric circulant Toeplitz matrices with integer coefficients which can be efficiently realized in serial as well as in parallel manner.