Local binary patternImage descriptorsRegion-overall LBPExtreme learning machineOver the past 15 years, many feature extraction methods have been used and developed for the recognition of plant species. These methods have mostly been performed using separation operations from the background based on a ...
In this paper, we propose a method that takes advantage of the combination of deep learning and Local Binary Pattern (LBP) features to recognize the masked face by utilizing RetinaFace, a joint extra-supervised and self-supervised multi-task learning face detector that can deal with various ...
Automatic and reliable segmentation of the hippocampus from magnetic resonance (MR) brain images is extremely important in a variety of neuroimage studies. To improve the hippocampus segmentation performance, a local binary pattern based feature extraction method is developed for machine learning based mu...
Embedded System · System-on-Chip (SoC) · Real-Time · Face Recognition · Field-Programmable Gate Array (FPGA) · Centrally Overlapped Blocks-Local Binary Pattern (COB-LBP) 1. Introduction The implementation of facial recognition approaches on hardware architectures without considering the specifics...
In proceedings of the 24th international conference on machine learning, ACM 1151–1157 Zhao G, Pietikäinen M (2007) Dynamic texture recognition using local binary patterns with an application to facial expressions. IEEE Trans On Pattern Analysis and Machine Intelligence 27(6):915–928 Article ...
3. Regressing Local Binary Features In Equation (1), both the linear regression matrix W t and the feature mapping function Φt are unknown. In our ap- proach, we propose learning them in two consecutive steps. We first learn a local feature mapping function to generate local binary ...
In the training process, a fine-tuning strategy is applied. Specifically, the model is first trained for 24 epochs with a learning rate of 10–3 and a batch size of 2, and then it is further trained for 36 epochs, with the weight from the last epoch of the first step as the pre-...
Visual Characterization of Paper Using Isomap and Local Binary Patterns In this paper, we study how a multidimensional local binary pattern (LBP) texture feature data can be visually explored and analyzed. The goal is to determ... M Turtinen,M Pietikinen,O Silvn - Machine Vision Applications...
Grey-box fuzzing techniques have been widely used in software bug finding. In general, there are many decisions to make in the fuzzing process, including which code block in the target program should be explored first, which bytes of an input seed should
To improve the hippocampus segmentation performance, a local binary pattern based feature extraction method is developed for machine learning based multi-atlas hippocampus segmentation. Under the framework of multi-atlas image segmentation (MAIS), a set of selected atlases are registered to images to ...