A new approach for measuring the shape and surface of an object observed from a single camera is proposed. The proposed approach is based on using the neural networks as a parameteric representation of the three-dimensional object and the shape-from-shading problem is formulated as the minimization of an intensity error function with respect to the network weights. Experimental results demonstrate that our proposed methodology exhibits high efficiency and accuracy for measuring and inspecting the product's surface in the manufacturing industry.
|Number of pages||6|
|Journal||IEEE Transactions on Industrial Electronics|
|Publication status||Published - Feb 2000|
ASJC Scopus subject areas
- Control and Systems Engineering
- Electrical and Electronic Engineering