# Image processing

arXiv: https://arxiv.org/abs/1409.2413 · HTML: https://mlsanity.com/paper/1409.2413/

## Key facts

- Cited by 11 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 25 Aug 2014.

## Built on by (most cited first, 11 of 11)

- [Geometric Multimodal Deep Learning with Multi-Scaled Graph Wavelet Convolutional Network](https://mlsanity.com/paper/2111.13361/) (2021)
- [Distribution-aware Margin Calibration for Semantic Segmentation in Images](https://mlsanity.com/paper/2112.11554/) (2021)
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- [FlexPara: Flexible Neural Surface Parameterization](https://mlsanity.com/paper/2504.19210/) (2025)
- [Remember and Recall: Associative-Memory-based Trajectory Prediction](https://mlsanity.com/paper/2410.02201/) (2024)
- [Novel Fundus Image Preprocessing for Retcam Images to Improve Deep Learning Classification of Retinopathy of Prematurity](https://mlsanity.com/paper/2302.02524/) (2023)
- [Detecting micro fractures: A comprehensive comparison of conventional and machine-learning based segmentation methods](https://mlsanity.com/paper/2103.12821/) (2021)
- [Multiresolution Feature Guidance Based Transformer for Anomaly Detection](https://mlsanity.com/paper/2305.14880/) (2023)
- [Efficient Vision-based Vehicle Speed Estimation](https://mlsanity.com/paper/2505.01203/) (2025)
- [MInDI-3D: Iterative Deep Learning in 3D for Sparse-view Cone Beam Computed Tomography](https://mlsanity.com/paper/2508.09616/) (2025)
- [3DRealHead: Few-Shot Detailed Head Avatar](https://mlsanity.com/paper/2604.13171/) (2026)

## Abstract (arXiv)

Gabor filters can extract multi-orientation and multiscale features from face images. Researchers have designed different ways to use the magnitude of the filtered results for face recognition: Gabor Fisher classifier exploited only the magnitude information of Gabor magnitude pictures (GMPs); Local Gabor Binary Pattern uses only the gradient information. In this paper, we regard GMPs as smooth surfaces. By completely describing the shape of GMPs, we get a face representation method called Gabor Surface Feature (GSF). First, we compute the magnitude, 1st and 2nd derivatives of GMPs, then binarize them and transform them into decimal values. Finally we construct joint histograms and use subspace methods for classification. Experiments on FERET, ORL and FRGC 1.0.4 database show the effectiveness of GSF.