Prosiectau fesul blwyddyn
Crynodeb
Scale-invariance, good localization and robustness to noise and distortions are the main properties that a local feature detector should possess. Most existing local feature detectors find excessive unstable feature points that increase the number of keypoints to be matched and the computational time of the matching step. In this paper, we show that robust and accurate keypoints exist in the specific scale-space domain. To this end, we first formulate the superimposition problem into a mathematical model and then derive a closed-form solution for multiscale analysis. The model is formulated via difference-of-Gaussian (DoG) kernels in the continuous scale-space domain, and it is proved that setting the scale-space pyramid's blurring ratio and smoothness to 2 and 0.627, respectively, facilitates the detection of reliable keypoints. For the applicability of the proposed model to discrete images, we discretize it using the undecimated wavelet transform and the cubic spline function. Theoretically, the complexity of our method is less than 5% of that of the popular baseline Scale Invariant Feature Transform (SIFT). Extensive experimental results show the superiority of the proposed feature detector over the existing representative hand-crafted and learning-based techniques in accuracy and computational time. The code and supplementary materials can be found at https://github.com/mogvision/FFD.
Iaith wreiddiol | Saesneg |
---|---|
Rhif yr erthygl | 9292438 |
Tudalennau (o-i) | 1153-1168 |
Nifer y tudalennau | 16 |
Cyfnodolyn | IEEE Transactions on Image Processing |
Cyfrol | 30 |
Dyddiad ar-lein cynnar | 14 Rhag 2020 |
Dynodwyr Gwrthrych Digidol (DOIs) | |
Statws | Cyhoeddwyd - 2021 |
Ôl bys
Gweld gwybodaeth am bynciau ymchwil 'FFD: Fast Feature Detector'. Gyda’i gilydd, maen nhw’n ffurfio ôl bys unigryw.Proffiliau
Prosiectau
- 1 Wedi Gorffen
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A China-UK joint phenomics consortium to dissect the basis of crop stress resistance in the face of climate change
Doonan, J. (Prif Ymchwilydd), Han, J. (Cyd-ymchwilydd), Liu, Y. (Cyd-ymchwilydd) & Mur, L. (Cyd-ymchwilydd)
Biotechnology and Biological Sciences Research Council
01 Gorff 2018 → 31 Rhag 2023
Prosiect: Ymchwil a ariannwyd yn allanol