TY - GEN
T1 - Which Is Which? Evaluation of Local Descriptors for Image Matching in Real-World Scenarios
AU - Bellavia, Fabio
AU - Bellavia, Fabio
AU - Colombo, Carlo
PY - 2019
Y1 - 2019
N2 - Matching with local image descriptors is a fundamental task in many computer vision applications. This paper describes the WISW contest held within the framework of the CAIP 2019 conference, aimed at benchmarking recent descriptors in challenging planar and non-planar real image matching scenarios. According to the contest results, the descriptors submitted to the competition, most of which based on deep learning, perform significantly better than the current state-of-the-art in image matching. Nonetheless, there is still room for improvement, especially in the case of non-planar scenes
AB - Matching with local image descriptors is a fundamental task in many computer vision applications. This paper describes the WISW contest held within the framework of the CAIP 2019 conference, aimed at benchmarking recent descriptors in challenging planar and non-planar real image matching scenarios. According to the contest results, the descriptors submitted to the competition, most of which based on deep learning, perform significantly better than the current state-of-the-art in image matching. Nonetheless, there is still room for improvement, especially in the case of non-planar scenes
UR - http://hdl.handle.net/10447/385509
UR - https://www.springer.com/series/558
M3 - Conference contribution
SN - 978-3-030-29887-6; 978-3-030-29888-3
T3 - LECTURE NOTES IN COMPUTER SCIENCE
SP - 299
EP - 310
BT - Computer Analysis of Images and Patterns
ER -