3D object recognition using wavelet transform and feature space trajectory algorithms

被引：0

作者：

Deschenes, S ^{[1
]}

Sheng, YL ^{[1
]}

Chevrette, PC ^{[1
]}

机构：

[1] Univ Laval, Ctr Opt Photon & Laser, Dept Phys, St Foy, PQ G1K 7P4, Canada

来源：

APPLICATIONS OF PHOTONIC TECHNOLOGY 3 | 1998年 / 3491卷

关键词：

3D object recognition; wavelets; feature space trajectories; interpolation; spline; Fourier descriptors;

D O I：

10.1117/12.328675

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We show three-dimensional object classification from their 2-D infrared images. Our feature-based approach is robust to image brightness variations due to the temperature changes. An original feature space cubic spline interpolation is introduced to build feature space trajectories for the recognition.

引用

页码：1023 / 1028

页数：6

共 8 条

[1] A COMPUTATIONAL APPROACH TO EDGE-DETECTION
CANNY, J
[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1986, 8 (06) : 679 - 698
[2] SINGULARITY DETECTION AND PROCESSING WITH WAVELETS
MALLAT, S
HWANG, WL
[J]. IEEE TRANSACTIONS ON INFORMATION THEORY, 1992, 38 (02) : 617 - 643
[3] MALLAT S, 1992, T PAT ANAL MACH INTE, V14
[4] NEIBERG L, 1994, P SOC PHOTO-OPT INS, V2353, P276, DOI 10.1117/12.188901
[5] POGGIO T, 1990, P IEEE, V78
[6] Pratt WK, 1991, DIGITAL IMAGE PROCES
[7] SHENG Y, 1995, TRANSFORMS APPL HDB, pCH10
[8] FOURIER DESCRIPTORS FOR PLANE CLOSED CURVES
ZAHN, CT
ROSKIES, RZ
[J]. IEEE TRANSACTIONS ON COMPUTERS, 1972, C 21 (03) : 269 - &

← 1 →