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The rise of deepfake technology brings forth new questions about the authenticity of various forms of media found online today. Videos and images generated by artificial intelligence (AI) have become increasingly more difficult to…

Computer Vision and Pattern Recognition · Computer Science 2025-07-28 Benjamin Carter , Nathan Dilla , Micheal Callahan , Atuhaire Ambala

The de facto algorithm for facial landmark estimation involves running a face detector with a subsequent deformable model fitting on the bounding box. This encompasses two basic problems: i) the detection and deformable fitting steps are…

Computer Vision and Pattern Recognition · Computer Science 2017-08-22 Jiankang Deng , George Trigeorgis , Yuxiang Zhou , Stefanos Zafeiriou

The accurate localization of facial landmarks is at the core of face analysis tasks, such as face recognition and facial expression analysis, to name a few. In this work, we propose a novel localization approach based on a deep learning…

Computer Vision and Pattern Recognition · Computer Science 2021-07-21 Shahar Mahpod , Rig Das , Emanuele Maiorana , Yosi Keller , Patrizio Campisi

Caricature is an artistic abstraction of the human face by distorting or exaggerating certain facial features, while still retains a likeness with the given face. Due to the large diversity of geometric and texture variations, automatic…

Computer Vision and Pattern Recognition · Computer Science 2021-03-09 Hongrui Cai , Yudong Guo , Zhuang Peng , Juyong Zhang

Face synthesis is an important problem in computer vision with many applications. In this work, we describe a new method, namely LandmarkGAN, to synthesize faces based on facial landmarks as input. Facial landmarks are a natural, intuitive,…

Computer Vision and Pattern Recognition · Computer Science 2021-02-09 Pu Sun , Yuezun Li , Honggang Qi , Siwei Lyu

As a significant step for human face modeling, editing, and generation, face landmarking aims at extracting facial keypoints from images. A generalizable face landmarker is required in practice because real-world facial images, e.g., the…

Computer Vision and Pattern Recognition · Computer Science 2024-04-23 Jiayi Liang , Haotian Liu , Hongteng Xu , Dixin Luo

The human face constantly conveys information, both consciously and subconsciously. However, as basic as it is for humans to visually interpret this information, it is quite a big challenge for machines. Conventional semantic facial feature…

Machine Learning · Computer Science 2016-10-21 Amogh Gudi

In this work, we present a practical approach to the problem of facial landmark detection. The proposed method can deal with large shape and appearance variations under the rich shape deformation. To handle the shape variations we equip our…

Computer Vision and Pattern Recognition · Computer Science 2020-01-10 Seyed Mehdi Iranmanesh , Ali Dabouei , Sobhan Soleymani , Hadi Kazemi , Nasser M. Nasrabadi

This inherent relations among multiple face analysis tasks, such as landmark detection, head pose estimation, gender recognition and face attribute estimation are crucial to boost the performance of each task, but have not been thoroughly…

Computer Vision and Pattern Recognition · Computer Science 2019-11-20 Shangfei Wang , Shi Yin , Longfei Hao , Guang Liang

Extraction of discriminative features from salient facial patches plays a vital role in effective facial expression recognition. The accurate detection of facial landmarks improves the localization of the salient patches on face images.…

Computer Vision and Pattern Recognition · Computer Science 2018-07-19 S L Happy , Aurobinda Routray

We propose a novel end-to-end deep architecture for face landmark detection, based on a deep convolutional and deconvolutional network followed by carefully designed recurrent network structures. The pipeline of this architecture consists…

Computer Vision and Pattern Recognition · Computer Science 2016-11-01 Hanjiang Lai , Shengtao Xiao , Yan Pan , Zhen Cui , Jiashi Feng , Chunyan Xu , Jian Yin , Shuicheng Yan

An ability to generalize unconstrained conditions such as severe occlusions and large pose variations remains a challenging goal to achieve in face alignment. In this paper, a multistage model based on deep neural networks is proposed which…

Computer Vision and Pattern Recognition · Computer Science 2020-02-05 Huabin Wang , Rui Cheng , Jian Zhou , Liang Tao , Hon Keung Kwan

We present a novel boundary-aware face alignment algorithm by utilising boundary lines as the geometric structure of a human face to help facial landmark localisation. Unlike the conventional heatmap based method and regression based…

Computer Vision and Pattern Recognition · Computer Science 2018-05-29 Wayne Wu , Chen Qian , Shuo Yang , Quan Wang , Yici Cai , Qiang Zhou

Introduction: In the realm of human-computer interaction and behavioral research, accurate real-time gaze estimation is critical. Traditional methods often rely on expensive equipment or large datasets, which are impractical in many…

Computer Vision and Pattern Recognition · Computer Science 2024-01-02 Esther Enhui Ye , John Enzhou Ye , Joseph Ye , Jacob Ye , Runzhou Ye

Thermal face image analysis is favorable for certain circumstances. For example, illumination-sensitive applications, like nighttime surveillance; and privacy-preserving demanded access control. However, the inadequate study on thermal face…

Computer Vision and Pattern Recognition · Computer Science 2020-06-11 Jin Keong , Xingbo Dong , Zhe Jin , Khawla Mallat , Jean-Luc Dugelay

Facial landmark localization aims to detect the predefined points of human faces, and the topic has been rapidly improved with the recent development of neural network based methods. However, it remains a challenging task when dealing with…

Computer Vision and Pattern Recognition · Computer Science 2021-02-09 Zixuan Xu , Banghuai Li , Miao Geng , Ye Yuan

Facial landmark detection, head pose estimation, and facial deformation analysis are typical facial behavior analysis tasks in computer vision. The existing methods usually perform each task independently and sequentially, ignoring their…

Computer Vision and Pattern Recognition · Computer Science 2017-09-26 Yue Wu , Chao Gou , Qiang Ji

This paper addresses 2 challenging tasks: improving the quality of low resolution facial images and accurately locating the facial landmarks on such poor resolution images. To this end, we make the following 5 contributions: (a) we propose…

Computer Vision and Pattern Recognition · Computer Science 2018-03-28 Adrian Bulat , Georgios Tzimiropoulos

In this work, we use facial landmarks to make the deformation for facial images more authentic. The deformation includes the expansion of eyes and the shrinking of noses, mouths, and cheeks. An advanced 106-point facial landmark detector is…

Computer Vision and Pattern Recognition · Computer Science 2021-06-08 Chaoyue Song , Yugang Chen , Shulai Zhang , Bingbing Ni

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…

Computer Vision and Pattern Recognition · Computer Science 2019-05-16 Yuxiang Wu , Zehua Cheng , Bin Huang , Yiming Chen , Xinghui Zhu , Weiyang Wang