STRUCTURE FROM MOTION USING LINE CORRESPONDENCES

被引:111
作者
SPETSAKIS, ME
ALOIMONOS, JY
机构
[1] UNIV MARYLAND,CTR AUTOMAT RES,COMP VIS LAB,COLLEGE PK,MD 20742
[2] UNIV MARYLAND,DEPT COMP SCI,COLLEGE PK,MD 20742
[3] UNIV MARYLAND,INST ADV COMP STUDIES,COLLEGE PK,MD 20742
关键词
D O I
10.1007/BF00054994
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A theory is presented for the computation of three-dimensional motion and structure from dynamic imagery, using only line correspondences. The traditional approach of corresponding microfeatures (interesting points-highlights, corners, high-curvature points, etc.) is reviewed and its shortcomings are discussed. Then, a theory is presented that describes a closed form solution to the motion and structure determination problem from line correspondences in three views. The theory is compared with previous ones that are based on nonlinear equations and iterative methods. © 1990 Kluwer Academic Publishers.
引用
收藏
页码:171 / 183
页数:13
相关论文
共 25 条
[1]  
ADIV G, 1984, COINS8407 TECH REPT
[2]  
ALOIMONOS J, 1986, THESIS U ROCHESTER
[3]  
BANDOPADHAY A, 1986, THESIS U ROCHESTER
[4]   PASSIVE NAVIGATION [J].
BRUSS, AR ;
HORN, BKP .
COMPUTER VISION GRAPHICS AND IMAGE PROCESSING, 1983, 21 (01) :3-20
[5]   EXTRACTING STRAIGHT-LINES [J].
BURNS, JB ;
HANSON, AR ;
RISEMAN, EM .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1986, 8 (04) :425-455
[6]  
CANNY J, 1984, THESIS MIT
[7]   DETERMINING OPTICAL-FLOW [J].
HORN, BKP ;
SCHUNCK, BG .
ARTIFICIAL INTELLIGENCE, 1981, 17 (1-3) :185-203
[8]  
HORN BKP, 1973, MIT AI285 MEM
[9]  
ITO E, 1987, P IEEE C ROBOTICS AU
[10]  
LIU Y, 1986, MAY IEEE WORKSH MOT