The Transformer-based architecture achieves state-of-the-art results in image captioning. Due to its non-recurrent nature, additional positional information needs to be provided. However, existing advanced methods att...
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In this paper, we propose two new subband adaptive filtering (SAF) algorithms based on the cost function of the logistic distance metric cost function and use the proportionate proximal gradient algorithm to exploit t...
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In this paper, we investigate the attitude control algorithms for antenna steering of spaceborne Synthetic Aperture Radars (SAR). They are based on the method of Nonlinear Least Squares (NLS), which has the ability to...
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Lung cancer, a significant global health concern, continues to take many lives, especially as a result of late-stage diagnoses. Early detection continues to have the most significant impact on patient outcomes and mor...
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Owing to advancements in image synthesis techniques, stylization methodologies for large models have garnered remarkable outcomes. However, when it comes to processing facial images, the outcomes frequently fall short...
image feature matching is an essential problem in computer vision. Also, feature matching is an important task in many computer vision applications, such as in VR technology, drones, and autonomous driving. In this pa...
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This paper presents a review on automated disease detection processing. The primary issue in herbal plants is the diagnosis and stratification of its diseases. The conventional process is unpredictable and inconsisten...
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Aiming at the problem that traditional target contour and central axis detection algorithms are easily affected by factors such as non-uniform backgrounds, incomplete target imaging, and tail flame interference, which...
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This paper presents a novel approach for detecting possible faults in underground cables at the manufacturing industry using imageprocessing techniques. With the increasing adoption of underground cables to minimize ...
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To address the challenges in motion vector estimation due to local non-uniform deformation of specimens during fatigue tests, this paper proposes an image matching method that combines template sub-image techniques wi...
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ISBN:
(数字)9798350355895
ISBN:
(纸本)9798350355901
To address the challenges in motion vector estimation due to local non-uniform deformation of specimens during fatigue tests, this paper proposes an image matching method that combines template sub-image techniques with a Kalman filter. This method employs a mesh motion estimation model, initially using the Kalman filter to predict the matching point positions of mesh nodes. Subsequently, template matching is utilized to achieve precise matching of these nodes. The algorithm is accelerated through GPU-CPU heterogeneous parallel computing technology. Test results indicate that the GPU-accelerated image matching method attains the accuracy of the CPU-based algorithm while significantly reducing processing time, thereby fully meeting the real-time requirements of online image feature matching applications.
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