Plant phenotyping using multi-view stereo vision with structured lights

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 9866, Issue , 2016, Pages

  Nguyen, Thuy Tuong ^a   Slaughter, David C ^a   Maloof, Julin N ^b   Sinha, Neelima ^b  

^a Univ of California   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

3D feature extraction; multiview; plant features; Plant phenotyping; stereo vision; structured lights

Indexed keywords

AGRICULTURE; ALGORITHMS; CAMERAS; COMPUTER HARDWARE; COMPUTER VISION; DISTRIBUTED COMPUTER SYSTEMS; EXTRACTION; FEATURE EXTRACTION; IMAGE MATCHING; OPTIMIZATION; PLANTS (BOTANY); STEREO VISION; THREE DIMENSIONAL COMPUTER GRAPHICS;

3-D FEATURE EXTRACTION; MULTI-VIEWS; PLANT FEATURES; PLANT PHENOTYPING; STRUCTURED LIGHT;

STEREO IMAGE PROCESSING;

EID: 84982256029     PISSN: 0277786X     EISSN: 1996756X     Source Type: Conference Proceeding    
DOI: 10.1117/12.2229513     Document Type: Conference Paper

References (25)

1. Nguyen, T. T., Slaughter, D. C., Max, N., Maloof, J. N., Sinha, N., Structured light-based 3D recon-struction system for plants," Sensors 15(8), 18587-18612 (2015).
2. Nguyen, T. T., Slaughter, D. C., Hanson, B. D., Barber, A., Freitas, A., Robles, D., Whelan, E.,Automated mobile system for accurate outdoor tree crop enumeration using an uncalibrated camera," Sensors 15(8), 18427-18442 (2015).
3. Nielsen, M., Slaughter, D. C., Gliever, C., Vision-based 3D peach tree reconstruction for automated blossom thinning," IEEE Trans. Ind. Inform. 8(1), 188-196 (2012).
4. Li, J., Miao, Z., Liu, X., Wan, Y., 3D reconstruction based on stereovision and texture mapping," Proc. ISPRS Technical Commission III Symp., Photogrammetric Computer Vision and Image Analysis, 1-6 (2010).
5. Brandou, V., Allais, A. G., Perrier, M., Malis, E., Rives, P., Sarrazin, J., Sarradin, P. M., 3D recon-struction of natural underwater scenes using the stereovision system IRIS," Proc. Europe OCEANS, 1-6 (2007).
6. Izadi, S., Kim, D., Hilliges, O., Molyneaux, D., Newcombe, R., Kohli, P., Shotton, J., Hodges, S., Freeman, D., Davison, A., KinectFusion: Real-time 3D reconstruction and interaction using a moving depth camera," Proc. ACM Symp. User Interface Software and Technology, 559-568 (2011).
7. Newcombe, R. A., Davison, A. J., Izadi, S., Kohli, P., Hilliges, O., Shotton, J., Molyneaux, D., Hodges, S., Kim, D., Fitzgibbon, A., KinectFusion: Real-time dense surface mapping and tracking," Proc. IEEE Int. Symp. Mixed and Augmented Reality, 127-136 (2011).
8. Ni, Z., Burks, T. F., Lee, W. S., 3D reconstruction of small plant from multiple views," Proc. ASABE and CSBE/SCGAB Annual Int. Meeting (2014).
9. Song, Y., Glasbey, C. A., Polder, G., van der Heijden, G. W.A.M, Non-destructive automatic leaf area measurements by combining stereo and time-of-ight images," IET Comput. Vis. 8(5), 391-403 (2014).
10. Azzari, G., Goulden, M. L., Rusu, R. B., Rapid characterization of vegetation structure with a Microsoft Kinect sensor," Sensors 13(2), 2384-2398 (2013).
11. Rusu, R. B., Cousins, S., 3D is here: Point cloud library (PCL)," Proc. IEEE Int. Conf. Robot. Autom., 1-4 (2011).
12. Paproki, A., Sirault, X., Berry, S., Furbank, R., Fripp, J., A novel mesh processing based technique for 3D plant analysis," BMC Plant Biol. 12(63), (2012).
13. Polder, G., Hofstee, J. W., Phenotyping large tomato plants in the greenhouse using a 3D light-field camera," Proc. ASABE and CSBE/SCGAB Annual Int. Meeting (2014).
14. Bouguet, J.-Y., Camera calibration toolbox for Matlab," California Institute of Technology (2013).
15. Tian, L., Slaughter, D. C., Norris, R. F., Outdoor field machine vision identification of tomato seedlings for automated weed control," Trans. ASABE 40, 1761-1768 (1997).
16. Felzenszwalb, P. F., Huttenlocher, D. P., Eficient belief propagation for early vision," Int. J. Comput. Vis. 70(1), 972-986 (2006).
17. Nguyen, V. D., Nguyen, T. T., Nguyen, D. D., Jeon, J. W., Adaptive ternary-derivative pattern for disparity enhancement," Proc. IEEE Int. Conf. Image Process., 2969-2972 (2012).
18. Taniai, T., Matsushita, Y., Naemura, T., Graph cut based continuous stereo matching using locally shared labels," Proc. IEEE Int. Conf. Comput. Vis. Pattern Recogn. (2014).
19. Heo, Y. S., Lee, K. M., Lee, S. U., Robust stereo matching using adaptive normalized cross-correlation," IEEE Trans. Pattern Anal. Mach. Intell. 33(4), 807822 (2011).
20. Nguyen, V. D., Nguyen, T. T., Nguyen, D. D., Jeon, J. W., Toward real-time vehicle detection using stereo vision and an evolutionary algorithm," Proc. IEEE Veh. Technol. Conf. (VTC Spring) (2012).
21. Nguyen, V. D., Nguyen, T. T., Nguyen, D. D., Lee, S. J., Jeon, J. W., A fast evolutionary algorithm for real-time vehicle detection," IEEE. Trans. Veh. Technol. 62(6), 2453-2468 (2013).
22. Hirschmuller, H., Stereo processing by semiglobal matching and mutual information," IEEE Trans. Pattern Anal. Mach. Intell. 30(2), 328-341 (2008).
23. Nguyen, V. D., Nguyen, D. D., Nguyen, T. T., Dinh, V. Q., Jeon, J. W. \Support local pattern and its application to disparity improvement and texture classification," IEEE Trans. Circuit Syst. Vid. Technol. 24(2), 263-276 (2014).
24. Yang, Q., Wang, L., Ahuja, N. A constant-space belief propagation algorithm for stereo matching," Proc. IEEE Int. Conf. Comput. Vis. Pattern Recogn., 1458-1465 (2010).
25. Rusu, R. B., Semantic 3D object maps for everyday manipulation in human living environments," PhD thesis, Computer Science Department, Technische Universitaet Muenchen, Germany (2009).