Abstract
Image-based 3D reconstruction technique can build the model quickly and easily. In this paper, we propose an efficient image-based method for plant model reconstruction with modified KLT image matching method. The modification makes the new algorithm search the matching points more accurately and helps users to add matching points manually. We present the method to get 3D information from the matching images. An algorithm to unify different coordinate systems has also been introduced in this paper. Finally we discuss an easy texture-mapping way to the 3D vertex model.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Wahl, F.: A coded light approach for depth map acquisition. In: Proceedings 8th DAGM-Symposioum Mustererkennung, G. Hartmann, Paderborn, pp. 12–17 (1986)
Chien, C.H., Aggarwal, J.K.: Identification of 3D objects from multiple silhouettes using quadtrees/octrees. Comp. Vision Graphics and Image Processing 36, 256–273 (1986)
Niem, W.: Robust and fast modelling of 3D natural objects from multiple views. In: SPIE Proceedings ”Image and Video Processing II”, vol. 2182, pp. 388–397 (1994)
Zheng, J.Y.: Acquiring 3-D models from sequences of contours. IEEE Transactions on Pattern Analysis and Machine Intelligence 16(2), 163–178 (1994)
Zhang, Z., Luong, Q.T., Faugeras, O.: Motion of an uncalibrated stereo rig: self-calibration and metric reconstruction. IEEE Trans. Robotics and Automation 12(1), 103–113 (1996)
Zhang, Z., Deriche, R., Luong, Q.T., Faugeras, O.: A robust approach to image matching: Recovery of the epipolar geometry. In: Proc. International Symposium of Young Investigators on information computer control, Beijing, China, pp. 7–29 (1994)
Zhang, Z., Deriche, R., Faugeras, O., Luong, Q.T.: A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry. Arti.cial Intelligence Journal 78, 87–119 (1995)
Lucas, B.D., Kanade, T.: An Iterative Image Registration Technique with an Application to Stereo Vision. In: International Joint Conference on Artificial Intelligence, pp. 674–679 (1981)
Bouguet, J.Y.: Pyramidal Implementation of the Lucas Kanade Feature Tracker Description of the Algorithm. Intel Corporation, Microprocessor Research Labs. OpenCV Documents (1999)
The Visualization Toolkit, http://www.kitware.com/vtk.html
Zhang, Y.: Image Project — Image understanding and computer vision. Tsing Hua University press (2000)
Niem, W., Broszio, H.: Mapping texture from multiple camera views onto 3d object models for computer animation. In: Proceedings of International Workshop on Stereoscopic and Three Dimensional Imaging, Eylül, pp. 99–105 (1995)
Zhang, Z.Y.: Image-Based Modeling of Objects and Human Faces. In: SPIE Conference Videometrics and Optical Methods for 3D Shape Measurement Invited Paper, Proceedings of SPIE, San Jose, CA, USA, January 2001, vol. 4309 (2001)
Prusinkiewicz, P., Muendermann, L., Karwowski, R., Lane, B.: The use of positional information in the modeling of plants. In: Proceedings of SIGGRAPH 2001, Los Angeles, California, August 12-17, pp. 289–300 (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Pan, Z., Hu, W., Guo, X., Zhao, C. (2004). An Efficient Image-Based 3D Reconstruction Algorithm for Plants. In: Laganá, A., Gavrilova, M.L., Kumar, V., Mun, Y., Tan, C.J.K., Gervasi, O. (eds) Computational Science and Its Applications – ICCSA 2004. ICCSA 2004. Lecture Notes in Computer Science, vol 3044. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24709-8_79
Download citation
DOI: https://doi.org/10.1007/978-3-540-24709-8_79
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22056-5
Online ISBN: 978-3-540-24709-8
eBook Packages: Springer Book Archive