Learning features on robotic surgical tools

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

Volumn , Issue , 2012, Pages 38-43

  Reiter, Austin ^a   Allen, Peter K ^a   Zhao, Tao ^b  

^a Och Spine at New York Presbyterian Hospitals   (United States)

^b INTUITIVE SURGICAL INC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE CLASSIFICATION; FEATURE DESCRIPTORS; IN-VIVO; POSE ESTIMATION; SURGICAL INTERVENTIONS; SURGICAL ROBOTS; SURGICAL TOOLS; TOOL TRACKING;

LEARNING ALGORITHMS; ROBOTICS; SURGERY; SURGICAL EQUIPMENT;

COMPUTER VISION;

EID: 84865003753     PISSN: 21607508     EISSN: 21607516     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2012.6239245     Document Type: Conference Paper

References (19)

1. G. Hubens, H. Coveliers, L. Balliu, M. Ruppert, and W. Vaneerdeweg, "A performance study comparing manual and robotically assisted laparoscopic surgery using the da vinci system," Surgical Endoscopy, vol. 17, pp. 1595-1599, 2003.
2. "Intuitive Surgical, Inc.." http://www.intuitivesurgical.com/.
3. J. Shang, D. Noonan, C. Payne, J. Clark, M. Sodergren, A. Darzi, and G. Yang, "An articulated universal joint based flexible access robot for minimally invasive surgery," in IEEE Intl. Conf. on Robotics and Automation, 2011.
4. A. Bajo, R. E. Goldman, L.Wang, D. Fowler, and N. Simaan, "Integration and preliminary evaluation of an insertable robotic effectors platform for single port access surgery," in IEEE Intl. Conf. on Robotics and Automation, 2012.
5. M. Groeger, K. Arbter, and G. Hirzinger, "Motion tracking for minimally invasive robotic surgery," in Medical Robotics, I-Tech Education and Publishing, pp. 117-148, 2008.
6. C. Doignon, P. Graebling, and M. de Mathelin, "Real-time segmentation of surgical instruments inside the abdominal cavity using a joint hue saturation color feature," in Real-Time Imaging, 2005.
7. S. Voros, J. Long, and P. Cinquin, "Automatic detection of instruments in laparoscopic images: A first step towards highlevel command of robotic endoscopic holders," Intl. J. of Robotics Research, vol. 26, pp. 1173-1190, Nov. 2007.
8. R. Wolf, J. Duchateau, P. Cinquin, and S. Voros, "3d tracking of laparoscopic instruments using statistical and geometric modeling," in Medical Image Computing and Computer-Assisted Intervention, 2011.
9. D. Burschka, J. J. Corso, M. Dewan, W. Lau, M. Li, H. Lin, P. Marayong, N. Ramey, G. D. Hager, B. Hoffman, D. Larkin, and C. Hasser, "Navigating inner space: 3-d assistance for minimally invasive surgery," in IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems, 2004.
10. Z. Pezzementi, S. Voros, and G. Hager, "Articulated object tracking by rendering consistent appearance parts," in IEEE Intl. Conf. on Robotics and Automation, 2009.
11. D. Lowe, "Distinctive image features from scale-invariant keypoints," Intl. J. of Computer Vision, vol. 60, no. 2, pp. 91-110, 2004.
12. N. Dalal and B. Triggs, "Histograms of oriented gradients for human detection," in IEEE Conf. on Computer Vision and Pattern Recognition, 2005.
13. O. Tuzel, F. Porikli, and P. Meer, "Region covariance: A fast descriptor for detection and classification," in European Conf. on Computer Vision, 2006.
14. V. Lepetit and P. Fua, "Keypoint recognition using randomized trees," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 28, no. 9, pp. 1465-1479, 2006.
15. K. Mikolajczyk and C. Schmid, "A performance evaluation of local descriptors," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 27, pp. 1615-1630, 2005.
16. M. Grabner, H. Grabner, and H. Bischof, "Fast approximated sift," in Asian Conf. on Computer Vision, 2006.
17. F. Porikli, "Integral histogram: A fast way to extract higtograms in cartesian spaces," in IEEE. Conf. on Computer Vision and Pattern Recognition, 2005.
18. O. Tuzel, F. Porikli, and P. Meer, "Human detection via classification on riemannian manifolds," in IEEE Conf. on Computer Vision and Pattern Recognition, 2007.
19. A. Bosch, A. Zisserman, and X. Munoz, "Representing shape with a spatial pyramid kernel," in ACM Intl. Conf. on Image and Video Retrieval, 2007.