INTERPOLATION USING WAVELET BASES

被引：29

作者：

PENTLAND, AP

机构：

[1] Perceptual Computing Section, Media Laboratory, Massachusetts Institute of Technology, Cambridge

来源：

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 1994年 / 16卷 / 04期

关键词：

REGULARIZATION; WAVELET TRANSFORMS; SURFACE INTERPOLATION; VOLUME INTERPOLATION;

D O I：

10.1109/34.277594

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Efficient solutions to regularization problems can be obtained using orthogonal wavelet bases for preconditioning. Good approximate solutions can be obtained in only two or three iterations, with each iteration requiring only O(n) operations and O(n) storage locations. Two- and three-dimensional examples are shown using both synthetic and real range data.

引用

页码：410 / 414

页数：5

共 21 条

[1]

ALBERT B, 1990, DCS RR837 YAL U RES

[2]

BLAKE A., 1987, VISUAL RECONSTRUCTIO

[3]

Boult T. E., 1986, Proceedings CVPR '86: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.86CH2290-5), P68

[4]

BOVE M, JUN P OPT SOC AM IM, P118