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	Browse All Reviews > Computing Methodologies (I) > Image Processing And Computer Vision (I.4)     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending     1-10 of 557 Reviews about "Image Processing And Computer Vision (I.4)": Date Reviewed   Foundations of computational imaging: a model-based approach Bouman C., SIAM, Philadelphia, PA, 2022. 349 pp.  Type: Book (1611977126) This attractively titled book deals with the process of creating images using raw noisy data from unknown sources such as a black hole, for example. This book arose out of the notes used for a graduate-level course on this topic for over two decad... Dec 30 2022   Digital image forensics: theory and implementation Roy A., Dixit R., Naskar R., Chakraborty R., Springer International Publishing, New York, NY, 2020. 89 pp.  Type: Book The introduction promises a great deal for an 89-page volume: the text “investigate[s] which device (or class of device) captured or formed the image” with “several state-of-the-art techniques ... reviewed... Sep 14 2021    Remote sensing image classification in R Kamusoko C., Springer International Publishing, New York, NY, 2019. 189 pp.  Type: Book Today, artificial intelligence (AI) benefits many scientific fields, including Earth observation (EO). This is not new--machine learning met remote sensing in the early 70s. Since then, supervised classification has been exten... Jul 12 2021   Assessing neural network scene classification from degraded images Tadros T., Cullen N., Greene M., Cooper E. ACM Transactions on Applied Perception 16(4): 1-20, 2019.  Type: Article, Reviews: (2 of 2) One of the major problems faced by deep learning techniques--for example, deep convolutional neural networks (CNNs)--is uncontrolled behavior due to glitches in the input. For example, you can modify just a few pixels... Mar 23 2021   Neural graph collaborative filtering Wang X., He X., Wang M., Feng F., Chua T.  SIGIR 2019 (Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, Paris, France, Jul 21-25, 2019) 165-174, 2019.  Type: Proceedings Typically, collaborative filtering (CF) is simply a nearest neighbor (NN) algorithm used either in its original form or in machine learning (ML), especially in supervised learning, to predict user preferences in recommender systems. He... Oct 14 2020    Image processing techniques for detecting and classification of plant disease: a review Hungilo G., Emmanuel G., Emanuel A.  IMIP 2019 (Proceedings of the 2019 International Conference on Intelligent Medicine and Image Processing, Bali, Indonesia, Apr 19-22, 2019) 48-52, 2019.  Type: Proceedings For experienced farmers and biologists, detecting and identifying plant diseases is usually fairly straightforward: they are familiar with the most common problems related to their crops and can use visual inspection, possibly in combi... Mar 9 2020   Visual SLAM and structure from motion in dynamic environments: a survey Saputra M., Markham A., Trigoni N. ACM Computing Surveys 51(2): 1-36, 2018.  Type: Article Reconstructing an environment’s 3D models is traditionally a computer vision problem, crucial for virtual reality (VR) applications and mobile robots that have to estimate the pose of the camera that moves with them. Well-kno... Feb 26 2020   Assessing neural network scene classification from degraded images Tadros T., Cullen N., Greene M., Cooper E. ACM Transactions on Applied Perception 16(4): 1-20, 2019.  Type: Article, Reviews: (1 of 2) Image processing and understanding human vision have shared interests and methods since the beginning of computer vision research. In recent years, deep learning and in particular convolutional neural networks (CNNs) have been applied ... Nov 27 2019    Understanding image representations by measuring their equivariance and equivalence Lenc K., Vedaldi A. International Journal of Computer Vision 127(5): 456-476, 2019.  Type: Article As the number of artificial intelligence (AI)-based systems that support key aspects of our life, including health and security, increases exponentially, the demand for explainable AI has reached a peak in recent years. In the field of... Jun 17 2019    Dense 3D-convolutional neural network for person re-identification in videos Liu J., Zha Z., Chen X., Wang Z., Zhang Y. ACM Transactions on Multimedia Computing, Communications, and Applications 15(1s): 1-19, 2019.  Type: Article It is well known that the current types of neural networks perform quite well in identifying faces in (still) images. But what about re-identifying moving pedestrians in non-overlapping video sequences taken from different cameras?... Apr 19 2019       Display 510152550100 per page
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