Geometric Feature-Based Facial Expression Recognition in Image Sequences Using Multi-Class AdaBoost and Support Vector Machines by Joonwhoan Lee, Deepak Ghimire

“…As the facial expression evolves over time facial landmarks are automatically tracked in consecutive video frames, using displacements based on elastic bunch graph matching displacement estimation. Feature vectors from individual landmarks, as well as pairs of landmarks tracking results are extracted, and normalized, with respect to the first frame in the sequence. …”
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Unmanned aerial vehicle–assisted node localization for wireless sensor networks by Xu Yang, Zhenguo Gao, Qiang Niu

“…And, their positions are determined through the graph matching or Bayesian model averaging approach. Finally, the localized non-occluded nodes start to act as the role of anchors. …”
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Phenotype Tracking of Leafy Greens Based on Weakly Supervised Instance Segmentation and Data Association by Zhuang Qiang, Jingmin Shi, Fanhuai Shi

“…Thirdly, leafy greens tracking is achieved by bipartite graph matching based on mask IoU measure. Under the framework of phenotype tracking, some time-context-dependent phenotype analysis tasks such as growth monitoring can be performed. …”
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6D Object Pose Estimation with Pairwise Compatible Geometric Features by Lin, Muyuan, Murali, Varun, Karaman, Sertac

“…We achieve comparable accuracy as the state-of-the-art graph matching solver while being much faster. Our approach outperforms state-of-the-art 6-DoF pose estimation methods on LineMOD and Occlusion LineMOD and runs in reasonable time (~5.9 Hz). …”
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A Fast L-p Spike Alignment Metric by Dubbs, Alexander Joseph, Seiler, Brad A., Magnasco, Marcel O.

“…We show how to implement a fast algorithm for the computation of this metric based on bipartite graph matching theory.…”
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LPSM: Fitting shape model by linear programming by Tu, J, Laflen, B, Liu, X, Bello, M, Rittscher, J, Tu, P

“…In the experiments, we compared the performance of our LPSM with the LP graph matching algorithm(LPGM), ASM, and a CONDENSATION based ASM algorithm on a test set of PUT database. …”

Joining Forces for Reconstruction Inverse Problems by Irene Sciriha

“…Also referred to as the P–NP Isomorphism Problem, Reconstruction or <i>Exact Graph Matching</i>, the aim is to seek sets of parameters to determine a graph uniquely. …”
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Automatic Semantic Modeling for Structural Data Source with the Prior Knowledge from Knowledge Base by Jiakang Xu, Wolfgang Mayer, Hongyu Zhang, Keqing He, Zaiwen Feng

“…In this paper, we propose a novel method for semantically annotating structured data sources using machine learning, graph matching and modified frequent subgraph mining to amend the candidate model. …”
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Feature matching of remote‐sensing images based on bilateral local–global structure consistency by Qing‐Yan Chen, Da‐Zheng Feng

“…This method incorporates the problem of mismatch removal into the framework of graph matching, constructs a global affinity matrix using local structural similarity and global affine transformation consistency, and optimizes it using a constrained integer quadratic programming method. …”
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A novel and robust method of indexing the uncoded stripes for multi‐line based structured light application by Jiawen Xue, Yi Hu, Guolin Li, Zhihua Wang, Xiang Xie

“…This letter proposes a graph‐matching based method to address this problem. The captured stripes are categorized into two parts according to whether they should be offset after projection. …”
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Recognition of Targets in SAR Images Based on a WVV Feature Using a Subset of Scattering Centers by Sumi Lee, Sang-Wan Kim

“…Finally, the matching scores between the two sets were calculated using weighted bipartite graph matching and then combined with several weights for overall similarity. …”
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Uncertainty-Aware Sensor Deployment Strategy in Mixed Wireless Sensor Networks by Yan Chang, Shukui Zhang, Yang Zhang, Jianxi Fan, Jin Wang

“…We consider the Gaussian white noise in the environment and present a centralized algorithm (FABGM for short) which discoveres vacancies by using detection model based on false alarm and moves the mobile nodes according to the method based on bipartite graph matching in this study. In this algorithm, the management node of the WSNs collects the geographical information of all of the static and mobile sensors. …”
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Hand sign language translation for human computer interaction by Kailasam Parvathy

“…The feature extraction techniques evaluated were Principal Component Analysis, Linear Discriminant Analysis, Statistical Moments, Shape Signature, Elastic Bunch Graph Matching, Fourier Descriptors and Kernel PCA. …”
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Local-global aware-transformer for occluded person re-identification by Jing Liu, Guoqing Zhou

“…Many state-of-the-art models for occluded Re-ID utilize auxiliary modules such as pose estimation, feature pyramid, and graph matching to address occlusion challenges. However, this approach results in complex models that struggle to generalize to diverse occlusions and may not effectively handle non-occluded pedestrians. …”
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Motion estimation for large displacements and deformations by Qiao Chen, Charalambos Poullis

“…We apply a multi-scale graph matching on the finer-scale superpixels contained within each matched pair of coarse-scale clusters. …”
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Co-Attention Graph Pooling for Efficient Pairwise Graph Interaction Learning by Junhyun Lee, Bumsoo Kim, Minji Jeon, Jaewoo Kang

“…However, previous works mainly focused on understanding single graph inputs while many real-world applications require pair-wise analysis for graph-structured data (e.g., scene graph matching, code searching, and drug-drug interaction prediction). …”
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Trade-Offs Computing Minimum Hub Cover Toward Optimized Labeled Graph Query Processing by Hasan M. Jamil, Kerem Bülbül, Ş. İlker Birbil, Belma Yelbay

“…In this context, recent interests in covering-based graph matching appears to be a promising direction of research. …”
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Link prediction using discrete-time quantum walk by Jing Qian, Lintao Yang, Zetai Yu, Shouyin Liu

“…Numerous research results show that quantum algorithms using quantum walk outperform their classical counterparts in many applications, such as graph matching and searching. But there have been few studies of the link prediction based on quantum walk, especially on discrete-time quantum walk. …”
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Online Multiple Athlete Tracking with Pose-Based Long-Term Temporal Dependencies by Longteng Kong, Mengxiao Zhu, Nan Ran, Qingjie Liu, Rui He

“…Secondly, we propose a multi-state online matching algorithm based on bipartite graph matching and similarity scores produced by PTSN. …”
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A graph-based sensor recommendation model in semantic sensor network by Yuanyi Chen, Yihao Lin, Peng Yu, Yanyun Tao, Zengwei Zheng

“…In addition to using the traditional graph matching algorithm, we propose a threshold pruning algorithm to narrow the matching scope and improve the matching efficiency. (2) Recommending top- k sensors. …”
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