An iterative solution for object pose parameters using image moments

Pattern Recognition Letters

Volumn 17, Issue 12, 1996, Pages 1279-1284

  Mukundan, R ^a   Ramakrishnan, K R ^b  

^a INDIAN SPACE RESEARCH ORGANISATION   (India)

^b INDIAN INSTITUTE OF SCIENCE   (India)

Author keywords

Attitude estimation; Image moments; Object pose determination

Indexed keywords

ALGORITHMS; COMPUTER VISION; IMAGING SYSTEMS; ITERATIVE METHODS; MATRIX ALGEBRA; NONLINEAR EQUATIONS; PARAMETER ESTIMATION; THREE DIMENSIONAL;

ATTITUDE ESTIMATION; MOMENT FUNCTIONS; NONLINEAR MOMENT EQUATIONS; POSITION PARAMETERS;

OBJECT RECOGNITION;

EID: 0030262470     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/0167-8655(96)00099-2     Document Type: Article

References (8)

1. Broida, T.J. and R. Chellappa (1986). Estimation of object motion parameters from noisy images. IEEE Trans. Pattern Anal. Mach. Intell. 8 (1), 90-99.
2. Cyganski, D. and J.A. Orr (1985). Application of tensor theory to object recognition and orientation determination. IEEE Trans. Pattern Anal. Mach. Intell. 7 (6), 662-673.
3. Figueiredo, R.J.P. and N. Kehtarnavaz (1988). Model based orientation independent 3D vision techniques. IEEE Trans. Aerospace Electronic Syst. 24 (5), 597-607.
4. Flusser, J. and T. Suk (1994). Affine moment invariants: a new tool for character recognition. Pattern Recognition Letters 15 (4), 433-436.
5. Markadey, V. and R.J.P. Figueiredo (1992). Robot sensing techniques based on high dimensional moment invariants and tensors. IEEE Trans. Robot. Automat. 8 (2), 186-195.
6. Mukundan, R. (1992). Estimation of quaternion parameters from two dimensional image moments. Graphical Models and Image Processing 54 (4), 345-350.
7. Prokop, R.J. and A.P. Reeves (1992). A survey of moment based techniques for unoccluded object representation. Graphical Models and Image Processing 54 (5), 438-460.
8. Tsai, R.Y. and T.S. Huang (1981). Estimating three dimensional motion parameters of a rigid planar patch. IEEE Trans. Acoust. Speech Signal Process. 29 (6), 1147-1152.