SIAM Journal on Computing
Developing a feature based knowledge system for CAD/CAM integration
Computers and Industrial Engineering
Building an expert system for the design of spot shoes
Computers and Industrial Engineering
Integrated approach to design and manufacture of shoe lasts for orthopaedic use
Computers and Industrial Engineering - Special issue on reverse engineering in industry: research issues and applications
Computational geometry and computer graphics in C++
Computational geometry and computer graphics in C++
Computational geometry: algorithms and applications
Computational geometry: algorithms and applications
Reconstruction and simplification of surfaces from contours
Graphical Models - Pacific Graphics '99 in Graphical Models
Hybrid feature modeling for sport shoe sole design
Computers and Industrial Engineering - 26th International conference on computers and industrial engineering
GMP '00 Proceedings of the Geometric Modeling and Processing 2000
Analysis of Planar Shapes Using Geodesic Paths on Shape Spaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Spectrum
Design and Analysis of Experiments
Design and Analysis of Experiments
Shoe-last design innovation for better shoe fitting
Computers in Industry
CAD tools for designing shoe lasts for people with diabetes
Computer-Aided Design
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Good fitting footwear requires matching not just the linear dimensions of feet but their girths as well. Footwear fitters have been using manual measurements for a long time, but the development of computerized techniques and scanner technologies have now made automatic determination of different foot dimensions feasible. The resistance to using such computer measurements has been the lack of trust in the accuracy of the data. This paper proposes an approach to obtain the necessary girths of feet in order to customize footwear. The proposed approach attempts to simulate the manual measurement procedures, and its effectiveness is assessed through an experiment with 15 foot castings. The results show that the simulated measurements can be within 5mm of the manual measurements if the measuring locations can be correctly identified. Linear regressions show that the differences between the manual measurements and the simulated measurements can be modeled with the addition of a systematic error term of less than 4mm. The computerized acquisition of foot dimensions is a useful way forward for custom shoe manufacturers.