Abstract Existing methods that use a fringe projection techn ique for prosthetic designs produce good results for the trunk and lower limbs; however, the devices used for this purpose are expensive. This paper investigates the use of an inexpensive passive method involving 3D surface reconstruction from video images taken at multiple views. The meth od that focuses on fitting the reference model of an object to the tar get data is presented. For an upper dummy limb, the fitting of the model with the data shows a satisfactory result. The results o f 15 measurements of different length between both reconstructed and actual dummy limb are highly correlate. The methodology de veloped is shown to be useful for prosthetic designers as an alternative to manual impression during the design.

References

[1] Besl P. and McKay N., A Method for Registration of 3d Shapes, IEEE Transactions on Pattern Analysis and Machine Intelligence , vol. 14, no. 2, pp. 239(25, 1992.

[2] Faugeras O., Three>Dimensional Computer Vision: A Geometric Viewpoint , Massachusetts Institute of Technology Press, 1993.

[3] Fremont V. and Chellali R., Turntable(Based 3D Object Reconstruction, in Proceedings of IEEE Conference on Cybernetics and Intelligent Systems , France, pp. 1277(1282, 2004.

[4] Hartley R. and Zisserman A., Multiple View Geometry in Computer Vision , Cambridge University Press, 1998.

[5] Laurentini A., The Visual Hull Concept for Silhouettes(Based Image Understanding, IEEE Transactions on Pattern Analysis and Machine Intelligence , vol. 16, no. 2, pp. 150(162, 1994.

[6] Lusardi M. and Nielson C., Orthotics and Prosthetics in Rehabilitation , Elsevier, 2007.

[7] Rusinkiewicz S. and Levoy M., Efficient Variants of the ICP Algorithm, in Proceedings of 3 rd Intelligence Conference on 3D Digital Imaging and Modeling , CA, pp. 145( 152, 2003.

[8] Seymour R., Prosthetics and Orthotics>Lower Limb and Spinal , Lippincott, Williams and Wilkins, 2002.

[9] Shin D. and Tjahjadi T., 3D Object Reconstruction From Multiple Views in Approximate Circular Motion, in Proceedings of IEE SMK UK>RI Chapter Conference on Applied Cybernetics , Selangor, pp. 70(75, 2005.

[10] Vincent C., Fournel T., and Fouquet R., Self( Indexing of Multi(View Fringe Systems, Computer of Journal Applied Optics , vol. 42, no. 11, pp. 1981(1986, 2003.

[11] Wong K. and Cipolla W., Structure and Motion from Silhouettes, Technical Document Computer Vision , pp. 217(222, 2001. Nasrul Mahmood received his BSc and MSc degrees in electrical and electronic engineering from Universiti Kebangsaan Malaysia (UKM) and Universiti Teknologi Malaysia (UTM), respectively. He obtained his PhD degree in electrical engineering from the University of Warwick, UK. His research areas are 3D object reconstruction from video sequences and from multiple views, biomedical image processing and engineering rehabilitation. Currently, he is servin g as a lecturer at the Faculty of Electrical Engineering, UTM. Camallil Omar received his MSc in electrical engineering from University of Nottingham, UK. His research areas are electronic circuits and design, image processing, electronic instrumentation and medical electronics. He is now serving as a lecturer at the Faculty of Electrical Engineering, UTM for the past 20 years. Multiviews Reconstruction for Prosthetic Design 55 Tardi Tjahjadi received his BSc degree from University College London, and his MSc and PhD degrees from University of Manchester Institute of Science and Technology (UMIST). He has expertise in the areas of multiresolution image processing, object tracking a nd motion estimation, and 3D object reconstruction. He has published numerous papers in these areas. Currently, he is serving as an associate professor in the School of Engineering, University of Warwick, UK. H e has been a senior member of IEEE since 2002.