Fast Decision Making of Point Cloud Video Geometry CU Partition Based on Occupied Pixels by Fengqin Wang, Juanjuan Jia, Qiuwen Zhang

“…In order to achieve effective complexity reduction and improve coding performance in the encoding process, this paper proposes a fast decision making method of coding unit (CU) partition of point cloud video geometry based on occupied pixels. …”
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Effect of bit-size reduced half-precision floating-point format on image pixel characterization for AI applications by J. Jean Jenifer Nesam, S. Sankar Ganesh, Sitharthan Ramachandran

“…This work proposes a new mantissa bit-size reduced half-precision floating-point format for processing and characterizing image pixels for machine learning algorithms. …”
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Automatic Setting of Optimal Multi-Exposures for High-Quality Structured Light Depth Imaging by Sukhan Lee, Hyunwoo Park

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Optimizing bone transport strategies: a pixel value ratio-based evaluation of regeneration rates in bifocal and trifocal techniques by Xin Yang, Xin Yang, Yimurang Hamiti, Yimurang Hamiti, Kai Liu, Kai Liu, Sulong Wang, Sulong Wang, Xiriaili Kadier, Xiriaili Kadier, Debin Xiong, Debin Xiong, Aihemaitijiang Yusufu, Aihemaitijiang Yusufu

“…BackgroundBone transport techniques are crucial for managing large bone defects, but the optimal approach for different defect lengths remains unclear. …”
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Pixel 5 Versus Pixel 9 Pro XL—Are Android Devices Evolving Towards Better GNSS Performance? by Julián Tomaštík, Jorge Hernández Olcina, Šimon Saloň, Daniel Tunák

“…However, this enhanced signal quality does not always translate to superior positioning accuracy. In single-point positioning (SPP), the Pixel 5 outperformed the Pixel 9 Pro XL in open conditions when considering mean positional errors, while the Pixel 9 Pro XL performed better under canopy conditions. …”
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Different pixel sizes of topographic data for prediction of soil salinity. by Shima Esmailpour, Ebrahim Mahmoudabadi, Mohammad Ghasemzadeh Ganjehie, Alireza Karimi

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An Autotuning Hybrid Method with Bayesian Optimization for Road Edge Extraction in Highway Systems from Point Clouds by Jingxu Chen, Qiru Cao, Mingzhuang Hua, Jinyang Liu, Jie Ma, Di Wang, Aoxiang Liu

“…The hybrid method combines the strengths of 2D feature images and 3D spatial characteristics while also automatically tuning the hyperparameter combination using Bayesian optimization. The hyperparameters encompass high and low pixel gradient thresholds, neighborhood radius, and normal vector threshold. …”
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Optimizing FCN for devices with limited resources using quantization and sparsity enhancement by Muhammad Faizan-Khan, Nisar Ali, Raja Hashim Ali, Areej Alasiry, Mehrez Marzougui, Shabbab Ali Algamdi, Yunyoung Nam

“…To fill this gap, we propose an innovative approach utilizing full-layer quantization with an $$L_2$$ error minimization algorithm, accompanied by sensitivity analysis to optimize fixed-point representation of network weights. …”
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Remotely-sensed Monitoring of Irrigated Area in Zaohe Irrigation District of Jiangsu Province Based on Pixel-scale Spectral Matching Method by SONG Wen-long, LIN Sheng-jie, YU Lang, TONG Dao-bin, LU Yi-zhu, LIU Jun, LIU Hong-jie, CHEN Min

“…Validation using sample points and a confusion matrix yielded an overall accuracy of 89.71% and a Kappa coefficient of 0.80, indicating higher accuracy and better extraction effects compared to existing products like IrriMap_Syn and IWMI products. …”
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Integration of YOLOv9 Segmentation and Monocular Depth Estimation in Thermal Imaging for Prediction of Estrus in Sows Based on Pixel Intensity Analysis by Iyad Almadani, Aaron L. Robinson, Mohammed Abuhussein

“…We then introduce a classification approach that differentiates between estrus and non-estrus regions based on the mean pixel intensity of the vulva. This classification method involves calculating Euclidean distances between new data points and reference points from two datasets: one for “estrus” and the other for “non-estrus”. …”
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Iterative Adaptive Multi-State Constrained Localization Algorithm Based on Vision/inertial Fusion by JIE Xiaohan, LIU Ning, SHEN Kai, QI Wenhao, LIU Xueqin

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On the Convergence of Maximum Likelihood Expectation–maximization Algorithm for Iterative Tomographic Reconstruction and the Role of Spatial Frequency, Location, Pixel Intensity, C... by Mohsen Qutbi

“…Background: It is desirable to iterate the maximum likelihood expectation–maximization (MLEM) algorithm to the point of convergence to obtain the optimal result. …”
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Infrared Small Target Detection, High-Precision Localization and Segmentation: Using TDU Kernel by C. Ding, S. Chen, H. Liu, Z. Luo, J. Zhang

“…Second, the principle adopts the scale-recursion algorithm by the mechanism of “bottom to up” to locate the target precisely from the preliminary result along with Area Optimal Recommend Mechanism (AORM) strategy. At last, the separated local histogram is used to segment the target by per-pixel with suitable threshold. …”
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Super-Resolution Reconstruction From Multiple Defocused Infrared Images of Stationary Scene by Yuxing Mao, Benjiang Zhao, Dongmei Yan, Haiwei Jia

“…The basic idea of the present study is to treat a defocused infrared image as distribution and accumulation of scene information among different pixels of the infrared detector, as well as a valid observation of the imaged subject; defocused images are the result of blurring a corresponding high resolution (HR) image using a point spread function (PSF) followed by downsampling. …”
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VIBRATION MEASUREMENT METHOD OF WIND TURBINE BLADE BASED ON BINOCULAR PHOTOGRAM METRY by YAKUP AhMat, WANG WenYun, GULBAHAR TohTi, SUN Zhi, MAMTIMIN GeNi

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Particle Movement in DEM Models and Artificial Neural Network for Validation by Using Contrast Points by Barbora Černilová, Jiří Kuře, Rostislav Chotěborský, Miloslav Linda

“…Enhancing the accuracy of DEM models allows for more reliable predictions of material behavior, which is essential for optimizing engineering applications that involve particulate materials. …”
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Digital Inspection Technology for Sheet Metal Parts Using 3D Point Clouds by Jian Guo, Dingzhong Tan, Shizhe Guo, Zheng Chen, Rang Liu

“…To solve the low efficiency of traditional sheet metal measurement, this paper proposes a digital inspection method for sheet metal parts based on 3D point clouds. The 3D point cloud data of sheet metal parts are collected using a 3D laser scanner, and the topological relationship is established by using a K-dimensional tree (KD tree). …”
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A tree crown edge-aware clipping algorithm for airborne LiDAR point clouds by Shangshu Cai, Yong Pang

“…Dividing a forest point cloud dataset into tiles is a common practice in point cloud processing (e.g., individual tree segmentation), aimed at addressing memory constraints and optimizing processing efficiency. …”
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Lightweight Tea Shoot Picking Point Recognition Model Based on Improved DeepLabV3+ by HU Chengxi, TAN Lixin, WANG Wenyin, SONG Min

“…Ultimately, through a sequence of convolutional operations and upsampling procedures, a prediction map congruent in resolution with the original image was generated, enabling the precise demarcation of tea shoot harvesting points.[Results and Discussions]The experimental outcomes indicated that the enhanced DeepLabV3+ model had achieved an average Intersection over Union (IoU) of 93.71% and an average pixel accuracy of 97.25% on the dataset of tea shoots. …”
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FGPointKAN++ point cloud segmentation and adaptive key cutting plane recognition for cow body size measurement by Guoyuan Zhou, Wenhao Ye, Sheng Li, Jian Zhao, Zhiwen Wang, Guoliang Li, Jiawei Li

“…In order to realize the segmentation of the point clouds at the pixel-level and the accurate calculation of body size for the dairy cows in different postures, a segmentation model (FGPointKAN++) and an adaptive key cutting plane recognition (AKCPR) model are developed. …”
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