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Craniofacial Superimposition involves the superimposition of an image of a skull with a number of ante-mortem face images of an individual and the analysis of their morphological correspondence. Despite being used for one century, it is not…

Computer Vision and Pattern Recognition · Computer Science 2023-01-25 Óscar Ibáñez , Enrique Bermejo , Andrea Valsecchi

We develop a new algorithm to perform facial reconstruction from a given skull. This technique has forensic application in helping the identification of skeletal remains when other information is unavailable. Unlike most existing strategies…

Graphics · Computer Science 2018-10-02 Celong Liu , Xin Li

Human skull identification is an arduous task, traditionally requiring the expertise of forensic artists and anthropologists. This paper is an effort to automate the process of matching skull images to digital face images, thereby…

Computer Vision and Pattern Recognition · Computer Science 2018-08-15 Maneet Singh , Shruti Nagpal , Richa Singh , Mayank Vatsa , Afzel Noore

In forensic craniofacial identification and in many biomedical applications, craniometric landmarks are important. Traditional methods for locating landmarks are time-consuming and require specialized knowledge and expertise. Current…

Computer Vision and Pattern Recognition · Computer Science 2025-11-19 Ravi Shankar Prasad , Nandani Sharma , Dinesh Singh

Deducing the 3D face from a skull is a challenging task in forensic science and archaeology. This paper proposes an end-to-end 3D face reconstruction pipeline and an exploration method that can conveniently create textured, realistic faces…

Computer Vision and Pattern Recognition · Computer Science 2024-12-24 Yongqing Liang , Congyi Zhang , Junli Zhao , Wenping Wang , Xin Li

Robust local feature representations are essential for spatial intelligence tasks such as robot navigation and augmented reality. Establishing reliable correspondences requires descriptors that provide both high discriminative power and…

Computer Vision and Pattern Recognition · Computer Science 2026-01-15 Haodi Yao , Fenghua He , Ning Hao , Yao Su

In this paper, we present a computer-assisted method for facial reconstruction. This method provides an estimation of the facial shape associated with unidentified skeletal remains. Current computer-assisted methods using a statistical…

Machine Learning · Computer Science 2012-02-15 Maxime Berar , Françoise Tilotta , Joan Alexis Glaunès , Yves Rozenholc

Craniofacial reconstruction in forensic science is crucial for the identification of the victims of crimes and disasters. The objective is to map a given skull to its corresponding face in a corpus of faces with known identities using…

Computer Vision and Pattern Recognition · Computer Science 2025-07-14 Ravi Shankar Prasad , Dinesh Singh

Craniofacial reconstruction in forensics is one of the processes to identify victims of crime and natural disasters. Identifying an individual from their remains plays a crucial role when all other identification methods fail. Traditional…

Computer Vision and Pattern Recognition · Computer Science 2025-08-26 Ravi Shankar Prasad , Dinesh Singh

3D face reconstruction from a single 2D image is a very important topic in computer vision. However, the current reconstruction methods are usually non-sensitive to face identities and over-sensitive to facial poses, which may result in…

Computer Vision and Pattern Recognition · Computer Science 2019-05-17 Yao Luo , Xiaoguang Tu , Mei Xie

Dental comparison is considered a primary identification method, at the level of fingerprints and DNA profiling. One crucial but time-consuming step of this method is the morphological comparison. One of the main challenges to apply this…

Face frontalization refers to the process of synthesizing the frontal view of a face from a given profile. Due to self-occlusion and appearance distortion in the wild, it is extremely challenging to recover faithful results and preserve…

Computer Vision and Pattern Recognition · Computer Science 2018-10-09 Jie Cao , Yibo Hu , Hongwen Zhang , Ran He , Zhenan Sun

As a domain-specific super-resolution problem, facial image hallucination has enjoyed a series of breakthroughs thanks to the advances of deep convolutional neural networks. However, the direct migration of existing methods to video is…

Computer Vision and Pattern Recognition · Computer Science 2020-02-19 Chaowei Fang , Guanbin Li , Xiaoguang Han , Yizhou Yu

Face super-resolution aims to recover high-quality facial images from severely degraded low-resolution inputs, but remains challenging due to the loss of fine structural details and identity-specific features. This work introduces SwinIFS,…

Computer Vision and Pattern Recognition · Computer Science 2026-01-06 Habiba Kausar , Saeed Anwar , Omar Jamal Hammad , Abdul Bais

The study of histopathological subtypes is valuable for the personalisation of effective treatment strategies for ovarian cancer. However, increasing diagnostic workloads present a challenge for UK pathology departments, leading to the rise…

Computer Vision and Pattern Recognition · Computer Science 2026-02-18 Marcus Jenkins , Jasenka Mazibrada , Bogdan Leahu , Michal Mackiewicz

Accurate assessment of spheno-occipital synchondrosis (SOS) maturation is a key indicator of craniofacial growth and a critical determinant for orthodontic and surgical timing. However, SOS staging from cone-beam CT (CBCT) relies on subtle,…

Computer Vision and Pattern Recognition · Computer Science 2026-04-14 Omid Halimi Milani , Amanda Nikho , Marouane Tliba , Lauren Mills , Emadeldeen Hamdan , Ahmet Enis Cetin , Mohammed H. Elnagar

Background: Accurate diagnosis of skull base tumors is essential for providing personalized surgical treatment strategies. Intraoperative diagnosis can be challenging due to tumor diversity and lack of intraoperative pathology resources.…

Accurate stabilization of facial motion is essential for applications in photoreal avatar construction for 3D games, virtual reality, movies, and training data collection. For the latter, stabilization must work automatically for the…

Computer Vision and Pattern Recognition · Computer Science 2024-11-12 Mathieu Lamarre , Patrick Anderson , Étienne Danvoye

Three-dimensional models of craniofacial variation over the general population are useful for assessing pre- and post-operative head shape when treating various craniofacial conditions, such as craniosynostosis. We present a new method of…

Computer Vision and Pattern Recognition · Computer Science 2016-01-22 Nick Pears , Christian Duncan

Facial feature tracking is a key component of imaging ballistocardiography (BCG) where accurate quantification of the displacement of facial keypoints is needed for good heart rate estimation. Skin feature tracking enables video-based…

Computer Vision and Pattern Recognition · Computer Science 2022-12-06 Jose Ramon Chang , Torbjörn E. M. Nordling
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