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 \( \pm 5.6{\% } \).
Keywords
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
http://www.rat.com.tw/. Accessed 12 July 2017
https://www.creaform3d.com/en/metrology-solutions/. Accessed 12 July 2017
Lu, H., Li, Y., Chen, M., Kim, H., Serikawa, S.: Brain intelligence: go beyond artificial intelligence. Int. J. Comput. Sci.—Comput. Vis. Pattern Recogn. (2017) arXiv:1706.01040
Xu, X., He, L., Shimada, A., Taniguchi, R.-I., Lu, H.: Learning unified binary codes for cross-modal retrieval via latent semantic hashing. Neurocomputing 213, 191–203 (2016)
Lu, H., Li, B., Zhu, J., Li, Y., Li, Y., Xu, X., He, L., Li, X., Li, J., Serikawa, S.: Wound intensity correction and segmentation with convolutional neural networks. J. Concurr. Comput. Pract. Exp., 29(6) (2017). http://onlinelibrary.wiley.com/doi/10.1002/cpe.v29.6/issuetoc
Lu, H., Li, Y., Uemura, T., Ge, Z., Xu, X., He, L., Serikawa, S.: FDCNet: filtering deep convolutional network for marine organism classification. J. Multimed. Tools Appl., 1–14 (2017)
Chung, K.L.: Image Processing And Computer Vision, Tunghua, Inc., ISBN 978-957-483-827-1 (2015)
Huang, S.Y., Chen, Y.C., Wang, J.K.: Measurement of tire tread depth with image triangulation. In: Proceedings of 2016 International Symposium on Computer, Consumer and Control (IS3C 2016), July 04–06, Xi’an, China, pp. 303–306 (2016)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this chapter
Cite this chapter
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
Download citation
DOI: https://doi.org/10.1007/978-3-319-69877-9_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-69876-2
Online ISBN: 978-3-319-69877-9
eBook Packages: EngineeringEngineering (R0)