Abstract
The 3D computer vision application become popular in recent years and estimating the object distance is basic technology. This study used laser array to beam the object then generate highlight characteristic point, and then applied Fuzzy C-mean (FCM) and Ant colony (ACO) to classify characteristic points on image. Finally, used conjugate pair and characteristic point on object and then based on Epipolar plane the object distance was estimated those maximum error rate is \( \pm 5.6{\% } \).
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Huang, SY., Chen, WY., Li, YC. (2018). Identification of the Conjugate Pair to Estimating Object Distance: An Application of the Ant Colony Algorithm. In: Lu, H., Xu, X. (eds) Artificial Intelligence and Robotics. Studies in Computational Intelligence, vol 752. Springer, Cham. https://doi.org/10.1007/978-3-319-69877-9_1
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DOI: https://doi.org/10.1007/978-3-319-69877-9_1
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