Three-dimensional invariants and their application to object recognition

[1]  Thomas S. Huang,et al.  Modeling, Analysis, and Visualization of Left Ventricle Shape and Motion by Hierarchical Decomposition , 1994, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  Hon-Son Don,et al.  3-D Moment Forms: Their Construction and Application to Object Identification and Positioning , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[3]  Chun-Shin Lin,et al.  New forms of shape invariants from elliptic fourier descriptors , 1987, Pattern Recognit..

[4]  Geoffrey E. Hinton,et al.  Learning internal representations by error propagation , 1986 .

[5]  John A. Orr,et al.  Applications of Tensor Theory to Object Recognition and Orientation Determination , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[6]  R. Bolles,et al.  Recognizing and Locating Partially Visible Objects: The Local-Feature-Focus Method , 1982 .

[7]  Robert C. Bolles,et al.  Locating Partially Visible Objects: The Local Feature Focus Method , 1980, AAAI.

[8]  Ernest L. Hall,et al.  Three-Dimensional Moment Invariants , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[9]  David Lovelock,et al.  Tensors, differential forms, and variational principles , 1975 .

[10]  Gösta H. Granlund,et al.  Fourier Preprocessing for Hand Print Character Recognition , 1972, IEEE Transactions on Computers.

[11]  Ming-Kuei Hu,et al.  Visual pattern recognition by moment invariants , 1962, IRE Trans. Inf. Theory.

[12]  A. R. Edmonds Angular Momentum in Quantum Mechanics , 1957 .