Search Results - Computing methodologies [Image Processing and Computer Vision]: Segmentation

[DEMO] Dense planar SLAM by Salas-Moreno, Renato F., Glocker, Ben, Kelly, Paul H. J., Davison, Andrew J.

“… We present an efficient new real-time approach which densely maps an environment using bounded planes and surfels extracted from depth images…”
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Dense planar SLAM by Salas-Moreno, Renato F., Glocken, Ben, Kelly, Paul H. J., Davison, Andrew J.

“… We present an efficient new real-time approach which densely maps an environment using bounded planes and surfels extracted from depth images…”
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Room-sized informal telepresence system by Mingsong Dou, Ying Shi, Frahm, J., Fuchs, H., Mauchly, B., Marathe, M.

“…We present a room-sized telepresence system for informal gatherings rather than conventional meetings. Unlike conventional systems which constrain participants…”
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Application of RBF neural network optimal segmentation algorithm in credit rating by Li, Xuetao, Sun, Yi

“… and class width of the selected model. This paper mainly studies the application of the radial basis function neural network model combined with the optimal segmentation algorithm in the personal loan credit rating model of banks…”
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Privacy-Preserving Medical Image Segmentation via Hybrid Trusted Execution Environment by Bian, Song, Jiang, Weiwen, Sato, Takashi

“…) to implement a more efficient privacy-preserving medical image segmentation protocol. In the experiment, we show that by offloading the computations of single-party…”
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Indoor scene segmentation algorithm based on full convolutional neural network by Zhu, Zijiang, Li, Deming, Hu, Yi, Li, Junshan, Liu, Dong, Li, Jianjun

“… Therefore, it is widely used in various fields such as computer vision. Image segmentation is one of the most basic research topics in the field of computer vision…”
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Dynamic Programming and Graph Algorithms in Computer Vision by Felzenszwalb, P F, Zabih, R

“… We focus on the low-level vision problem of stereo, the mid-level problem of interactive object segmentation, and the high-level problem of model-based recognition…”
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Unsupervised Activity Perception in Crowded and Complicated Scenes Using Hierarchical Bayesian Models by Xiaogang Wang, Xiaoxu Ma, Grimson, W.E.L.

“…We propose a novel unsupervised learning framework to model activities and interactions in crowded and complicated scenes. Hierarchical Bayesian models are…”
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A novel beta differential evolution algorithm-based fast multilevel thresholding for color image segmentation by Bhandari, Ashish Kumar

“…Multilevel thresholding for image segmentation is a crucial process in several applications such as feature extraction and pattern recognition…”
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Adaptive Patching for High-resolution Image Segmentation with Transformers by Zhang, Enzhi, Lyngaas, Isaac, Chen, Peng, Wang, Xiao, Igarashi, Jun, Huo, Yuankai, Munetomo, Masaharu, Wahib, Mohamed

“…Attention-based models are proliferating in the space of image analytics, including segmentation…”
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Leveraging semantic segmentation for hybrid image retrieval methods by Ouni, Achref, Royer, Eric, Chevaldonné, Marc, Dhome, Michel

“… But, even with the increase in the performance of deep learning algorithms, this problem is still a challenge in computer vision…”
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Computer Vision-Based Medical Cloud Data System for Back Muscle Image Detection by Qi, Xuanye

“… Back muscle image detection can also be considered a task in medical image processing…”
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Deep multimodal fusion for semantic image segmentation: A survey by Zhang, Yifei, Sidibé, Désiré, Morel, Olivier, Mériaudeau, Fabrice

“… A variety of studies have demonstrated that deep multimodal fusion for semantic image segmentation achieves significant performance improvement…”
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A new deep-learning strawberry instance segmentation methodology based on a fully convolutional neural network by Perez-Borrero, Isaac, Marin-Santos, Diego, Vasallo-Vazquez, Manuel J., Gegundez-Arias, Manuel E.

“…Instance segmentation is one of the image processing problems where deep learning techniques are beginning to show potential…”
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Fuzzy C-Means for image segmentation: challenges and solutions by Dhal, Krishna Gopal, Das, Arunita, Sasmal, Buddhadev, Ray, Swarnajit, Rai, Rebika, Garai, Arpan

“…Image segmentation is considered a pertinent prerequisite for numerous tasks in digital image processing…”
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Visualizing the Uncertainty of Graph‐based 2D Segmentation with Min‐path Stability by Summa, B., Tierny, J., Pascucci, V.

“… Our approach provides insight into this uncertainty by computing the “min‐path stability”, a scalar measure analyzing the stability of the segmentation given a set of input constraints…”
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A secure two-qubit quantum model for segmentation and classification of brain tumor using MRI images based on blockchain by Amin, Javaria, Anjum, Muhammad Almas, Gul, Nadia, Sharif, Muhammad

“… The classified tumor images are input to the semantic segmentation model named J. SegCNN for tumor segmentation. The proposed…”
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Contrastive Semantic‐Guided Image Smoothing Network by Wang, Jie, Wang, Yongzhen, Feng, Yidan, Gong, Lina, Yan, Xuefeng, Xie, Haoran, Wang, Fu Lee, Wei, Mingqiang

“…Image smoothing is a fundamental low‐level vision task that aims to preserve salient structures of an image while removing insignificant details…”
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An end-to-end computer vision methodology for quantitative metallography by Rusanovsky, Matan, Beeri, Ofer, Oren, Gal

“… We suggest the following examination process: (1) deep semantic segmentation is performed on the inclusions…”
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Image segmentation by minimum cross entropy using evolutionary methods by Oliva, Diego, Hinojosa, Salvador, Osuna-Enciso, Valentín, Cuevas, Erik, Pérez-Cisneros, Marco, Sanchez-Ante, Gildardo

“…The segmentation of digital images is one of the most important steps in an image processing or computer vision system…”
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