Results 31 to 40 of about 2,770,336 (188)
Deep Regression for Face Alignment
CoRR, 2014 In this paper, we present a deep regression approach for face alignment. The deep architecture consists of a global layer and multi-stage local layers. We apply the back-propagation algorithm with the dropout strategy to jointly optimize the regression parameters. We show that the resulting deep regressor gradually and evenly approaches the true facial
Baoguang Shi +3 more
openaire +2 more sources
Edge-Embedded Multi-Dropout Framework for Real-Time Face Alignment
IEEE Access, 2020 We propose the Edge-Embedded Multi-Dropout (EEMD) framework for real-time face alignment. The EEMD framework extracts facial edge features and explores multiple dropout architecture for locating facial landmarks.
Gee-Sern Hsu +2 more
doaj +1 more source
Deformable face ensemble alignment with robust grouped-L1 anchors
, 2013 Many methods exist at the moment for deformable face fitting. A drawback to nearly all these approaches is that they are (i) noisy in terms of landmark positions, and (ii) the noise is biased across frames (i.e.
Saragih, J. +14 more
core +1 more source
Improving word alignment using syntactic dependencies [PDF]
, 2008 We introduce a word alignment framework that facilitates the incorporation of syntax encoded in bilingual dependency tree pairs. Our model consists of two sub-models: an anchor word alignmentmodel which aims to find a set of high-precision anchor links ...
Ozdowska, Sylwia +3 more
core +3 more sources
Feedback cascade regression model for face alignment
IET Computer Vision, 2019 Face alignment has made great progress in recent years and the cascade regression framework is one of the main contributors. However, the performance of this framework is unsatisfactory on heavily occluded faces or those far from the frontal pose.
Yangyang Hao +3 more
doaj +1 more source
Deep Hierarchical Network With Line Segment Learning for Quantitative Analysis of Facial Palsy
IEEE Access, 2019 We propose the deep hierarchical network (DHN) for the quantitative analysis of facial palsy. Facial palsy, also known as Bell’s palsy, is the most common type of facial nerve palsy that results in the loss of muscle control in the affected facial
Gee-Sern Jison Hsu +2 more
doaj +1 more source
Foxnet: A Multi-Face Alignment Method [PDF]
2019 IEEE International Conference on Image Processing (ICIP), 2019 Multi-face alignment aims to identify geometry structures of multiple faces in an image, and its performance is essential for the many practical tasks, such as face recognition, face tracking, and face animation. In this work, we present a fast bottom-up multi-face alignment approach, which can simultaneously localize multi-person facial landmarks with
Yuxiang Wu +5 more
openaire +3 more sources
Face Alignment via Multi-Regressors Collaborative Optimization
IEEE Access, 2019 Face alignment is a fundamental step in facial image analysis. To solve the non-convex optimization problem, most cascade-based regression approaches conventionally utilize a single regressor to cover the entire optimization space.
Caifeng Liu +3 more
doaj +1 more source
The many faces of sequence alignment [PDF]
Briefings in Bioinformatics, 2005 Starting with the sequencing of the mouse genome in 2002, we have entered a period where the main focus of genomics will be to compare multiple genomes in order to learn about human biology and evolution at the DNA level. Alignment methods are the main computational component of this endeavour.
openaire +2 more sources
Thermal-to-Visible Face Alignment on Edge Map
IEEE Access, 2017 This paper presents a novel thermal-to-visible face alignment method based on edge map. The alignment procedure is inspired by iterative closest points matching.
Lin Sun, Zengwei Zheng
doaj +1 more source