تقرير
SHREC 2011: robust feature detection and description benchmark
| العنوان: | SHREC 2011: robust feature detection and description benchmark |
|---|---|
| المؤلفون: | Boyer, E., Bronstein, A. M., Bronstein, M. M., Bustos, B., Darom, T., Horaud, R., Hotz, I., Keller, Y., Keustermans, J., Kovnatsky, A., Litman, R., Reininghaus, J., Sipiran, I., Smeets, D., Suetens, P., Vandermeulen, D., Zaharescu, A., Zobel, V. |
| سنة النشر: | 2011 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Computer Vision and Pattern Recognition |
| الوصف: | Feature-based approaches have recently become very popular in computer vision and image analysis applications, and are becoming a promising direction in shape retrieval. SHREC'11 robust feature detection and description benchmark simulates the feature detection and description stages of feature-based shape retrieval algorithms. The benchmark tests the performance of shape feature detectors and descriptors under a wide variety of transformations. The benchmark allows evaluating how algorithms cope with certain classes of transformations and strength of the transformations that can be dealt with. The present paper is a report of the SHREC'11 robust feature detection and description benchmark results. Comment: This is a full version of the SHREC'11 report published in 3DOR |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/1102.4258 |
| رقم الأكسشن: | edsarx.1102.4258 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |