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- W2185435949 abstract "Area-based least squares matching is the most accurate technique for matching un-targetted surface points, but further refinement of the accuracy and reliability of the area-based technique is possible. This paper explores the benefits of enhancing the fidelity of the pixel co-ordinate transformation model, as a means of extending the window size, to improve accuracy and reliability. Surface models, based on first- and second-order surface gradients within the match patches have been developed. However, the models require numerous parameters, including co-ordinates of the corresponding point on the right image, relative orientation parameters of the cameras and surface gradients, and the computational load is heavier. Greater intricacy in the geometric models deserves to be explored only if the improved accuracy and reliability is not offset by the cost of increased complexity. With the revised models higher precision was achieved. The number of iterations in the least squares solution was reduced, suggesting that the functional model had been improved. Computation times were only marginally improved, despite the reduced number of iterations. Larger window sizes can be used. Because the results were more precise, the complexity is justified, and modelling the surface mathematically, as an alternative to the conventional surface element models, is advantageous. More complex models could produce further improvements to accuracy and reliability, but precisions can deteriorate if the model is too complex for the surface. It is suggested that the complexity of the model needs to vary with the complexity of the surface, and the model therefore needs to be adaptive." @default.
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- W2185435949 date "2000-01-01" @default.
- W2185435949 modified "2023-09-27" @default.
- W2185435949 title "REPERCUSSIONS OF USING SURFACE MODELS OF GREATER FIDELITY IN AREA-BASED MATCHING" @default.
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