Application of Computer Vision to 3D Reconstruction

In this text, 3D reconstruction methods are evaluated based on their performance characteristics. Later on Conoscopic holography(CH) is presented to the reader, so as to explain its intricacies. Computer vision (CV) techniques are also presented with specific emphasis on algorithms that have been developed with the aim of resolving the pertinent problems affecting the efficient performance of Holography based methods. Particular emphasis has been placed on the recovery of distance information from the holograms. The resulting interference pattern is treated as an image for the analysis using CV techniques. Patterns in the image are identified and subsequently related using image algebra to solve for the distance from an object being observed by the conoscope. Lastly, the application of the Computer vision solutions for industrial purposes is studied.

Autorentext

Julius Butime is a lecturer of Electrical Engineering at Makerere University Kampala. His specializations are in Computer vision and Telecommunications. Luis Galo Corzo is a researcher with Trainelec S.L for embedded systems Iñigo Gutierrez is a lecturer of electronics at TECNUN (Engineering School of Universidad de Navarra).