Analyzing octopus movements using three-dimensional reconstruction

Journal of Neurophysiology

Volumn 98, Issue 3, 2007, Pages 1775-1790

  Yekutieli, Yoram ^a,b   Mitelman, Rea ^a   Hochner, Binyamin ^a   Flash, Tamar ^b  

^a HEBREW UNIVERSITY OF JERUSALEM   (Israel)

^b WEIZMANN INSTITUTE OF SCIENCE   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

ARM MOVEMENT; ARTICLE; AUTOMATION; COMPUTER SYSTEM; LOCOMOTION; MOTION ANALYSIS SYSTEM; MOVEMENT PERCEPTION; MUSCLE STRETCHING; NONHUMAN; OCTOPUS; PRIORITY JOURNAL; SIMULATION; THREE DIMENSIONAL IMAGING;

ANIMALS; EXTREMITIES; IMAGE PROCESSING, COMPUTER-ASSISTED; MODELS, BIOLOGICAL; MOTOR ACTIVITY; MOVEMENT; OCTOPODIFORMES;

EID: 34548740740     PISSN: 00223077     EISSN: 15221598     Source Type: Journal    
DOI: 10.1152/jn.00739.2006     Document Type: Article

References (51)

1. Abdel-Aziz YI, Karara HM. Direct linear transformation from comparator coordinates into object-space coordinates in close range photogrammetry. In: Proceedings of the ASP/UI Symposium on Close-Range Photogrammetry. Falls Church, VA: American Society of Photogrammetry, 1971, p. 1-18.
2. Aggarwal JK, Cai Q. Human motion analysis: a review. Comput Vision Image Understanding 73: 428-440, 1999.
3. Baek JH, Cosman P, Feng Z, Silver J, Schafer WR. Using machine vision to analyze and classify Caenorhabditis elegans behavioral phenotypes quantitatively. J Neurosci Methods 118: 9-21, 2000.
4. Blum H. A transformation for extracting new descriptors of shape. In: Models of the Perception of Speech and Visual Form. Cambridge, MA: MIT Press, 1967.
5. Bodenheimer B, Rose C, Rosenthal S, Pella J. The process of motion capture: dealing with the data. In: Proceedings of Computer Animation and Simulation '97 (Eurographics Animation Workshop), edited by Thalmann D, van de Panne M. Vienna: Springer-Verlag, 1997, p. 3-18.
6. Chen L, Armstrong CW, Raftopoulos DD. An investigation on the accuracy of three-dimensional space reconstruction using the direct linear transformation technique. J Biomech 27: 493-500, 1994.
7. Chirikjian GS, Burdick JW. A modal approach to hyper-redundant manipulator kinematics. IEEE Trans Robot Automat 10: 343-354, 1994.
8. Cipolla R, Giblin PJ. Visual Motion of Curves and Surfaces. Cambridge, UK: Cambridge Univ. Press, 2000.
9. de Groot JH, van der Sluijs I, Snelderwaard PC, van Leeuwen JL. A three-dimensional kinematic analysis of tongue flicking in Python molurus. J Exp Biol 207: 827-839, 2004.
10. de Groot JH, van Leeuwen JL. Estimation of the longitudinal axis of line symmetrical soft bodies by stereophotogrammetry. J Biomech 35: 823-827, 2002.
11. Faugeras O.Three-dimensional computer vision - a geometric viewpoint. In: Artificial Intelligence. Cambridge, MA: MIT Press, 1993.
12. Fiorito G, Planta CV, Scotto P. Problem solving ability of Octopus vulgaris Lamarck (Mollusca, Cephalopoda). Behav Neural Biol 53: 217-230, 1990.
13. Galun M, Apartsin A, Basri R. Multiscale segmentation by combining motion and intensity cues. In: Proceedings of Computer Vision and Pattern Recognition. CVPR 2005. Piscataway, NJ: IEEE Computer Society, 2005, vol. 1, p. 1
14. Galun M, Sharon E, Basri R, Brandt A. Texture segmentation by multiscale aggregation of filter responses and shape elements. In: Proceedings of the Ninth IEEE International Conference on Computer Vision. Piscataway, NJ: IEEE Computer Society, 2003, p. 716-725.
15. Gavrila DM. Vision-Based 3-D Tracking of Humans in Action. (PhD thesis). College Park, MD: Univ. of Maryland, 1996.
16. Golland P, Grimson WEL. Fixed topology skeletons. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. Piscataway, NJ: IEEE Computer Society, 2000, vol. 1, p. 10-17.
17. Graziadei P. The nervous system of the arms. In: The Anatomy of the Nervous System of Octopus vulgaris, edited by Young JZ. Oxford, UK: Clarendon Press, 1971, p. 45-59.
18. Gutfreund Y, Flash T, Fiorito G, Hochner B. Patterns of arm muscle activation involved in octopus reaching movements. J Neurosci 18: 5976-5987, 1998.
19. Gutfreund Y, Flash T, Yarom Y, Fiorito G, Segev I, Hochner B. Organization of octopus arm movements: a model system for studying the control of flexible arms. J Neurosci 16: 7297-7307, 1996.
20. Hartley RI. Estimation of relative camera positions for uncalibrated cameras. In: Proceedings of ECCV'92, Second European Conference on Computer Vision, Santa Margherita Ligure, Italy, edited by Sandini G. Berlin: Springer-Verlag, 1992, p. 579-587.
21. Hinrichs RN, McLean SP. NLT and extrapolated DLT: 3-D cinematography alternatives for enlarging the volume of calibration. J Biomech 28: 1219-1224, 1995.
22. Hughes NF, LH Kelly. New techniques for 3-D video tracking of fish swimming movements in still or flowing water. Can J Fish Aquat Sci 53: 2473-2483, 1996.
23. Jennings C. Robust finger tracking with multiple camers. In: Proceedings of the International Workshop on Recognition, Analysis and Tracking of Faces and Gestures in Real-Time Systems. Piscataway, NJ: IEEE Computer Society, 1999, p. 152-160.
24. Karra TN. 3D Dynamic Model of the Octopus Arm (MSc thesis). Rehovot, Israel: The Weizmann Institute of Science, 2006.
25. Kier WM. Hydrostatic skeletons and muscular hydrostats. In: Biomechanics (Structures and Systems): A Practical Approach, edited by Biewener AA. Oxford, UK: IRL Press, 1992.
26. Kier WM, Smith KK. Tongues, tentacles and trunks: the biomechanics movement in muscular-hydrostats. Zool J Linn Soc 83: 307-324, 1985.
27. Kier WM, Thompson JT. Muscle arrangement, function and specialization in recent coleoids. Berliner Paläobiol Abhandl 3: 141-162, 2003.
28. Knutsen PM, Derdikman D and Ahissar E. Tracking whisker and head movements in unrestrained behaving rodents. J Neurophysiol 93: 2294-2301, 2005.
29. Kwon YH. A camera calibration algorithm for the underwater motion analysis. In: Scientific Proceedings of the XVII International Symposium on Biomechanics in Sports, edited by Sanders RH, Gibson BJ. Perth, Australia: Edith Cowan Univ., 1999, p. 257-260.
30. Kwon YH. Motion Analysis: Camera Calibration. http://www.kwon3d.com/ theory/calib.html, 2007. Online.
31. Kwon YH, Casebolt JB. Effects of light refraction on the accuracy of camera calibration and reconstruction in underwater motion analysis. Sports Biomech 5: 315-340, 2006.
32. Lagarias JC, Reeds JA, Wright MH, Wright PE. Convergence properties of the Nelder-Mead simplex method in low dimensions. SIAM J Optim 9: 112-147, 1998.
33. Leymarie F, Levin MD. Simulating the grassfire transform using an active contour model. IEEE Trans Pat Anal and Mach Intell 14: 56-75, 1992.
34. MacIver MA, Nelson ME. Body modeling and model-based tracking for neuroethology. J Neurosci Methods 95: 133-143, 2000.
35. Mather JA. How do octopuses use their arms? J Comp Psychol 112: 306-316, 1998.
36. Mazzoni A, Garcia-Perez E, Zoccolan D, Graziosi S, Torre V. Quantitative characterization and classification of leech behavior. J Neurophysiol 93: 580-593, 2005.
37. Mitelman R, Yekutieli Y, Flash T, Hochner B. Towards a better understanding of the octopus' motor control: a kinematic description of the bend initiation movement using 3D reconstruction of the entire arm (Abstract). Israel Soc Neurosci ISFN 14th Annu Meeting 2005.
38. Moynihan M. Conservatism of displays and comparable stereotyped patters among cephalopods. In: Function and Evolution in Behavior, edited by Baerends G, Beer C, Manning A. Oxford, UK: Clarendon Press, 1975, p. 276-292.
39. Packard A, Sanders GD. Body patterns of Octopus vulgaris and maturation of the response to disturbance. Anim Behav 19: 780-790, 1971.
40. Roberts LG. Machine perception of three-dimensional solids. In: Optical and Electrooptical Information Processing, edited by Tippett J, Berkowitz D, Clapp L, Koester C, Vanderburgh A. Cambridge, MA: MIT Press, 1965, p. 159-197.
41. Rowell CHF. Activity of interneurons in the arm of Octopus in response to tactile stimulation. J Exp Biol 44: 589-605, 1966.
42. Sumbre G, Fiorito G, Flash T, Hochner B. Motor control of the octopus flexible arm. Nature 433: 595-596, 2005.
43. Sumbre G, Fiorito G, Flash T, Hochner B. Octopuses use a human-like strategy to control precise point-to-point arm movements. Curr Biol 16: 767-772, 2006.
44. Sumbre G, Gutfreund Y, Fiorito G, Flash T, Hochner B. Control of octopus arm extension by a peripheral motor program. Science 293: 1845-1848, 2001.
45. Wells MJ, Wells J. The function of the brain of octopus in tactile discrimination. J Exp Biol 34: 131-142, 1957.
46. Xu G, Zhang Z. Epipolar geometry in stereo, motion and object recognition: a unified approach. In: Motion-Based Recognition (Computational Imaging and Vision), edited by Shah M, Jain R. Berlin: Springer-Verlag, 1996.
47. Yekutieli Y, Sagiv-Zohar R, Aharonov R, Engel Y, Hochner B, Flash T. Dynamic model of the octopus arm. I. Biomechanics of the octopus reaching movement. J Neurophysiol 94: 1443-1458, 2005.
48. Yekutieli Y, Sagiv-Zohar R, Hochner B, Flash T. Dynamic model of the octopus arm. II. Control of reaching movements. J Neurophysiol 94: 1459-1468, 2005.
49. Yekutieli Y, Sumbre G, Flash T, Hochner B. How to move with no rigid skeleton? The octopus has the answers. Biologist (Lond) 49: 250-254, 2002.
50. Zakotnik J, Matheson T, Dürr V. A posture optimization algorithm for model-based motion capture of movement sequences. J Neurosci Methods 135: 43-54, 2004.
51. Zullo L, Sumbre G, Flash T, Hochner B. Characterization of neural activities of the octopus higher motor centers (Abstract). Israel Soc Neurosci ISFN 14th Annu Meeting 2005.