Evolutionary algorithms for a mixed stereovision uncalibrated 3D reconstruction
- 131 Downloads
This paper proposes an original 3D shape reconstruction which is a mixture of the passive and active stereovision systems. Similarly to the passive stereovision systems, two cameras are used to acquire the images. As for the active stereovision methods, the detection of the points of interest (POIs) and the matching problem are solved by using a structured-light pattern projected onto the analysed object. An encoding is proposed to ease the matching procedure. Then, Evolutionary Algorithms (EAs) are designed to calculate the depth of the detected POIs. Numerous experiments are conducted to validate the different steps of the proposed method.
Keywords3D reconstruction Evolutionary algorithm Uncalibrated system Correspondence problem Encoding
- 11.Faugeras O, Toscani G (1987) Camera calibration for 3D computer vision. Proc. International Workshop on Machine Vision and Machine Intelligence, TokyoGoogle Scholar
- 12.Goldberg DE, Genetic Algorithms in Search (1989) Optimization & machine learning. Addison-Wesley, ReadingGoogle Scholar
- 24.Zhang X, Liu Y. HuangTS (2002) Determining 3D structure and motion of man- made objects from image corners, In: Proceedings of the SSIAI’2 SantaFe, New Mexico, USA, 26–30Google Scholar