ON OPTIMALLY COMBINING PIECES OF INFORMATION, WITH APPLICATION TO ESTIMATING 3-D COMPLEX-OBJECT POSITION FROM RANGE DATA

[1] BAYESIAN RECOGNITION OF LOCAL 3-D SHAPE BY APPROXIMATING IMAGE INTENSITY FUNCTIONS WITH QUADRIC POLYNOMIALS [J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1984, 6 (04) : 418 - 429

[2] BOLLE RM, 1984, THESIS BROWN U

[3] BOLLE RM, LEMS6 BROWN U TECH R

[4] BOLLE RM, 1985, IBM RC11037 TECH REP

[5] BOLLES RC, 1983, 8TH P INT JOINT C AR, P1116

[6] CERNUSCHIFRIAS B, 1984, THESIS

[7] CERNUSCHIFRIAS B, 1985, JUN P IEEE COMP SOC, P167

[8] CERNUSCHIFRIAS B, 1984, LEMS5 BROWN U TECH R

[9] Cohen F. S., 1984, Seventh International Conference on Pattern Recognition (Cat. No. 84CH2046-1), P1104

[10] COHEN FS, 1985, 1985 P SPIE C COMP V, P2

[1] BAYESIAN RECOGNITION OF LOCAL 3-D SHAPE BY APPROXIMATING IMAGE INTENSITY FUNCTIONS WITH QUADRIC POLYNOMIALS [J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1984, 6 (04) : 418 - 429

[2] BOLLE RM, 1984, THESIS BROWN U

[3] BOLLE RM, LEMS6 BROWN U TECH R

[4] BOLLE RM, 1985, IBM RC11037 TECH REP

[5] BOLLES RC, 1983, 8TH P INT JOINT C AR, P1116

[6] CERNUSCHIFRIAS B, 1984, THESIS

[7] CERNUSCHIFRIAS B, 1985, JUN P IEEE COMP SOC, P167

[8] CERNUSCHIFRIAS B, 1984, LEMS5 BROWN U TECH R

[9] Cohen F. S., 1984, Seventh International Conference on Pattern Recognition (Cat. No. 84CH2046-1), P1104

[10] COHEN FS, 1985, 1985 P SPIE C COMP V, P2