Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/106973
Title: | Cascaded face alignment via intimacy definition feature | Authors: | Li, H Lam, KM Chiu, MY Wu, K Lei, Z |
Issue Date: | Sep-2017 | Source: | Journal of electronic imaging, Sept 2017, v. 26, no. 5, 053024 | Abstract: | Recent years have witnessed the emerging popularity of regression-based face aligners, which directly learn mappings between facial appearance and shape-increment manifolds. We propose a random-forest based, cascaded regression model for face alignment by using a locally lightweight feature, namely intimacy definition feature. This feature is more discriminative than the pose-indexed feature, more efficient than the histogram of oriented gradients feature and the scale-invariant feature transform feature, and more compact than the local binary feature (LBF). Experimental validation of our algorithm shows that our approach achieves state-of-the-art performance when testing on some challenging datasets. Compared with the LBF-based algorithm, our method achieves about twice the speed, 20% improvement in terms of alignment accuracy and saves an order of magnitude on memory requirement. | Keywords: | Cascaded face alignment Intimacy definition feature Random forest |
Publisher: | SPIE - International Society for Optical Engineering | Journal: | Journal of electronic imaging | ISSN: | 1017-9909 | EISSN: | 1560-229X | DOI: | 10.1117/1.JEI.26.5.053024 | Rights: | © (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited. The following publication Shandong Dong, Bo Dong, and Changyuan Yu "High sensitivity curvature sensor with a cascaded fiber interferometer", Proc. SPIE 10323, 25th International Conference on Optical Fiber Sensors, 1032372 (23 April 2017) is available at https://doi.org/10.1117/1.JEI.26.5.053024. |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Lam_Cascaded_Face_Alignment.pdf | Pre-Published version | 1.92 MB | Adobe PDF | View/Open |
Page views
6
Citations as of Jun 30, 2024
Downloads
3
Citations as of Jun 30, 2024
SCOPUSTM
Citations
5
Citations as of Jun 21, 2024
WEB OF SCIENCETM
Citations
3
Citations as of Jun 27, 2024
![](/image/google_scholar.jpg)
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.