A Comparison of Local Detectors and Descriptors for Multi-Object Applications
Faten A. Khalifa, Noura A. Semary, Hatem M. El-Sayed, Mohiy Mohammed Hadhoud · 2015
There have been a number of evaluations and comparisons between feature detectors and descriptors and between their different implementations. These detectors and descriptors respond differently depending on the image structure. In this paper, we evaluate the overall performance of the most efficient detectors and descriptors in terms of speed and efficiency. The evaluation is carried out on a set of images of different object classes and structures with different geometric and photometric deformations. This evaluation would be useful for multi-object applications such as digilog books. It has been observed that some detectors perform better with certain object classes. Differences in performance of the descriptors vary with different image structures.