( en | de | ru )

 

Disambiguation of "Premachandran, Vittal"

Author of the publication

copydeleteadd this publication to your clipboard
Improving shape context using geodesic information and reflection invariance.

, and . Intelligent Robots and Computer Vision: Algorithms and Techniques, volume 8662 of SPIE Proceedings, page 86620E. SPIE, (2013)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Vittal Rao

Nikhil Vittal Shetty

 

Other publications of authors with the same name

Measuring the effectiveness of bad pixel detection algorithms using the ROC curve., and . IEEE Trans. Consumer Electronics, 56 (4): 2511-2519 (2010)Perceptually Motivated Shape Context Which Uses Shape Interiors, and . CoRR, (2012)Improving shape context using geodesic information and reflection invariance., and . Intelligent Robots and Computer Vision: Algorithms and Techniques, volume 8662 of SPIE Proceedings, page 86620E. SPIE, (2013)Can relative skill be determined from a photographic portfolio?, , , and . Human Vision and Electronic Imaging, volume 8651 of SPIE Proceedings, page 86510X. SPIE, (2013)Empirical Minimum Bayes Risk Prediction., , , and . IEEE Trans. Pattern Anal. Mach. Intell., 39 (1): 75-86 (2017)Exploiting shape properties for improved retrieval, discrimination and recognition. Nanyang Technological University, Singapore, (2014)Comparing automated and human ratings of photographic aesthetics., , and . CIC, page 217-222. Society for Imaging Science and Technology, (2011)Dense sampling of shape interiors for improved representation., and . Image Processing: Machine Vision Applications, volume 8661 of SPIE Proceedings, page 866109. SPIE, (2013)Rating Image Aesthetics Using a Crowd Sourcing Approach., , and . PSIVT Workshops, volume 8334 of Lecture Notes in Computer Science, page 24-32. Springer, (2013)Deep Residual Learning for Instrument Segmentation in Robotic Surgery., , , , and . MLMI@MICCAI, volume 11861 of Lecture Notes in Computer Science, page 566-573. Springer, (2019)