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- Adaptive fringe-pattern projection for image saturation avoidance in 3D surface-shape measurement149
The adaptive fringe-pattern projection (AFPP) method demonstrated improved 3D measurement accuracy by avoiding image saturation in highly-reflective surface regions while maintaining high intensity modulation across the entire surface.
- An accurate calibration method for a camera with telecentric lenses132
A new method to accurately calibrate the telecentric imaging system by considering the major sources of lens distortions and the maximum distortion of the system reduces 26 times by the presented calibration technology.
- Telecentric 3D profilometry based on phase-shifting fringe projection82
A novel telecentric phase-shifting projected fringe profilometry for small and thick objects and a new system calibration method of camera and projector based on telecentric imaging model is developed to avoid the complicated phase-to-depth conversion in microscopic fringe projection.
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- Ntire 2025 Image Shadow Removal Challenge Report22
This work examines the findings of the NTIRE 2025 Shadow Removal Challenge, with 17 teams successfully submitting their solutions during the final evaluation phase, and one focusing on reconstruction fidelity and the other on visual perception through a user study.
- Design and learn distinctive features from pore-scale facial keypoints17
The results prove that the pore-scale features are highly distinctive; face images with a minimum resolution of 600i?700 (0.4 mega) pixels contain sufficient details to perform a reliable matching in different poses.
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- Gabor-based anisotropic diffusion with lattice Boltzmann method for medical ultrasound despeckling11
The experimental results suggested that the Gabor-based anisotropic diffusion coupled with the lattice Boltzmann method (GAD-LBM) was superior to other nine methods in speckle suppression and detail preservation and has advantages in computational efficiency.
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- Speed profile optimisation for intelligent vehicles in dynamic traffic scenarios6
RRT-based algorithm is proposed to search for the optimal speed profile in the s-t space asymptotically and results show the effectiveness and efficiency of this method.
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- Recursive operations in image algebra6
Algebraic properties of these recursive operations are given, providing a mathematical basis for recursive template composition and decomposition, and applications of recursive template operations in specifying some image processing algorithms are presented.
- TagController5
The key insight is that the fine-grained phase information extracted from RF signals is capable of perceiving various actions and TagController, a universal wireless and battery-free remote controller with two types of interactive actions, promises its feasibility and robustness.
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- Deeply Learned Pore-Scale Facial Features4
This paper uses Convolutional Neural Networks (CNNs) to learn discriminant representations of pore-scale facial features and shows that the deep network based method outperforms the state-of-the-art methods on the Bosphorus database.
- Time-Triggered Scheduling for Nonpreemptive Real-Time DAG Tasks Using 1-Opt Local Search3
This article proposes a novel optimization algorithm that effectively balances the tradeoff between theoretical guarantees and algorithm scalability, and establishes that the algorithm produces 1-opt solutions while maintaining polynomial run-time complexity.
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- A flexible, simple telecentric three dimensional measurement system3
Three-dimensional shape reconstruction of a coin value ¥1 and measurement of central circle points of the calibration target further verify the validity of the proposed calibration method.
- Cataloging and Preservation Toolkit of a Chinese Mathematics Ancient Books Digital Library3
This toolkit fulfills the cataloging and preservation functions of CMDL, a pure-Java application for platform-portable consideration and JAXB is used to process XML for its convenient and powerful performance at XML processing.
- Joint Optimization of Continuous Variables and Priority Assignments for Real-Time Systems with Black-Box Schedulability Constraints2
This work proposes a general and scalable framework to optimize real-time systems with continuous variables, named Numerical Optimizer with Real-Time Highlight (NORTH), built upon the gradient-based active-set methods from the numerical optimization literature but with new methods to manage active constraints for the non-differentiable schedulability constraints.
- AFSRNet: learning local descriptors with adaptive multi-scale feature fusion and symmetric regularization2
This paper proposes a novel convolutional neural network, based on center-surround adaptive multi-scale feature fusion, and introduces a novel regularization technique that uses second-order similarity to constrain the learning of local descriptors, based on the symmetric property of the similarity matrix.
- R3GS: Gaussian Splatting for Robust Reconstruction and Relocalization in Unconstrained Image Collections1
This work proposes R3GS, a robust reconstruction and relocalization framework tailored for unconstrained datasets, and introduces a novel relocalization method that remains robust to changes in lighting conditions while estimating the camera pose of a given image within the reconstructed 3DGS scene.
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Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-15. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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