Dense registration of fingerprints is a challenging task due to elastic skin distortion, low image quality, and self-similarity of ridge pattern. To overcome the limitation of handcraft features, we propose to train an end-to-end network to directly output pixel-wise displacement field between two fingerprints. The proposed network includes a siamese network for feature embedding, and a following encoder-decoder network for regressing displacement field. By applying displacement fields reliably estimated by tracing high quality fingerprint videos to challenging fingerprints, we synthesize a large number of training fingerprint pairs with ground truth displacement fields. In addition, based on the proposed registration algorithm, we propose a fingerprint mosaicking method based on optimal seam selection. Registration and matching experiments on FVC2004 databases, Tsinghua Distorted Fingerprint (TDF) database, and NIST SD27 latent fingerprint database show that our registration method outperforms previous dense registration methods in accuracy and efficiency. Mosaicking experiment on FVC2004 DB1 demonstrates that the proposed algorithm produced higher quality fingerprints than other algorithms which also validates the performance of our registration algorithm.
Wellcome / EPSRC Centre for Interventional and Surgical Sciences, University College London（威康信托/工程与物理科学研究委员会介入与外科科学中心，伦敦大学学院）；Centre for Surgical Technologies, KU Leuven（鲁汶大学外科技术中心）；University College Hospital（大学学院医院）
Purpose: The standard clinical treatment of Twin-to-Twin Transfusion Syndrome consists in the photo-coagulation of undesired anastomoses located on the placenta which are responsible to a blood transfer between the two twins. While being the standard of care procedure, fetoscopy suffers from a limited field-of-view of the placenta resulting in missed anastomoses. To facilitate the task of the clinician, building a global map of the placenta providing a larger overview of the vascular network is highly desired. Methods: To overcome the challenging visual conditions inherent to in vivo sequences…
Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School（马蒂诺斯生物医学成像中心、麻省总医院、哈佛医学院）；Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology（麻省理工学院计算机科学与人工智能实验室（CSAIL））；Wellcome / EPSRC Centre for Interventional and Surgical Sciences, University College London（伦敦大学学院惠康/EPSRC介入与外科科学中心）；Centre for Medical Image Computing, University College London（伦敦大学学院医学图像计算中心）；KU Leuven（鲁汶大学）；King’s College London（伦敦国王学院）
Video mosaicking requires the registration of overlapping frames located at distant timepoints in the sequence to ensure global consistency of the reconstructed scene. However, fully automated registration of such long-range pairs is (i) challenging when the registration of images itself is difficult; and (ii) computationally expensive for long sequences due to the large number of candidate pairs for registration. In this paper, we introduce an efficient framework for the active annotation of long-range pairwise correspondences in a sequence. Our framework suggests pairs of images that are sou…
Istituto Italiano di Tecnologia（意大利理工学院）；Politecnico di Milano（米兰理工大学）；University College London（伦敦大学学院）；University College London Hospital（伦敦大学学院医院）；University Hospital Leuven（鲁汶大学医院）；Istituto "Giannina Gaslini"（詹尼娜·加斯利尼研究所）；Scuola Superiore Sant’Anna（圣安娜高等学校）
In Twin-to-Twin Transfusion Syndrome (TTTS), abnormal vascular anastomoses in the monochorionic placenta can produce uneven blood flow between the two fetuses. In the current practice, TTTS is treated surgically by closing abnormal anastomoses using laser ablation. This surgery is minimally invasive and relies on fetoscopy. Limited field of view makes anastomosis identification a challenging task for the surgeon. To tackle this challenge, we propose a learning-based framework for in-vivo fetoscopy frame registration for field-of-view expansion. The novelties of this framework relies on a learn…
Coarse-to-Fine Non-Rigid Registration for Side-Scan Sonar Mosaicking
School of Marine Science and Technology, Northwestern Polytechnical University（海洋科学与技术学院，西北工业大学）；Research & Development Institute of Northwestern Polytechnical University（西北工业大学研发院）；Computer Vision and Robotics Research Institute (ViCOROB) of the University of Girona（加泰罗尼亚大学计算机视觉与机器人研究所（ViCOROB））
A Single-step Accurate Fingerprint Registration Method Based on Local Feature Matching
School of Artificial Intelligence, Beijing University of Posts and Telecommunications（人工智能学院，北京邮电大学）；Beijing Key Laboratory of Network System and Network Culture（网络系统与网络文化北京市重点实验室）
Latent fingerprint matching is a very important but unsolved problem. As a key step of fingerprint matching, fingerprint registration has a great impact on the recognition performance. Existing latent fingerprint registration approaches are mainly based on establishing correspondences between minutiae, and hence will certainly fail when there are no sufficient number of extracted minutiae due to small fingerprint area or poor image quality. Minutiae extraction has become the bottleneck of latent fingerprint registration. In this paper, we propose a non-minutia latent fingerprint registration m…
Bio-Key International Inc.（Bio-Key国际公司）；Capella University（卡佩拉大学）
A novel minutia-based fingerprint matching algorithm is proposed that employs iterative global alignment on two minutia sets. The matcher considers all possible minutia pairings and iteratively aligns the two sets until the number of minutia pairs does not exceed the maximum number of allowable one-to-one pairings. The optimal alignment parameters are derived analytically via linear least squares. The first alignment establishes a region of overlap between the two minutia sets, which is then (iteratively) refined by each successive alignment. After each alignment, minutia pairs that exhibit we…
A B-Spline Function Based 3D Point Cloud Unwrapping Scheme for 3D Fingerprint Recognition and Identification
School of Systems and Computing, UNSW Canberra（UNSW Canberra 系统与计算学院）；Information Systems, University of Canberra（堪培拉大学信息系统系）；School of Information and Communication Technology, Griffith University（格里菲斯大学信息与通信技术学院）；School of Engineering & Technology, UNSW Canberra（UNSW Canberra 工程与技术学院）
University College London（伦敦大学学院）；Istituto Italiano di Tecnologia（意大利技术研究院）；Politecnico di Milano（米兰理工大学）；University Rovira i Virgili（罗维拉-维尔吉利大学）；University of Bourgogne Franche-Comté（勃艮第-弗朗什-孔泰大学）
Fetoscopy laser photocoagulation is a widely adopted procedure for treating Twin-to-Twin Transfusion Syndrome (TTTS). The procedure involves photocoagulation pathological anastomoses to regulate blood exchange among twins. The procedure is particularly challenging due to the limited field of view, poor manoeuvrability of the fetoscope, poor visibility, and variability in illumination. These challenges may lead to increased surgery time and incomplete ablation. Computer-assisted intervention (CAI) can provide surgeons with decision support and context awareness by identifying key structures in …
With the growing popularity of smartphone photography in recent years, web photos play an increasingly important role in all walks of life. Source camera identification of web photos aims to establish a reliable linkage from the captured images to their source cameras, and has a broad range of applications, such as image copyright protection, user authentication, investigated evidence verification, etc. This paper presents an innovative and practical source identification framework that employs neural-network enhanced sensor pattern noise to trace back web photos efficiently while ensuring sec…
IFViT: Interpretable Fixed-Length Representation for Fingerprint Matching via Vision Transformer
Anhui University（安徽大学）；Monash University（莫纳什大学）；Fuzhou University（福州大学）；University of Hong Kong（香港大学）；University of Nottingham Malaysia Campus（诺丁汉大学马来西亚校区）；University of Sassari（萨萨里大学）
