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What is Document Mosaicing Document mosaicing is a process that stitches multiple, overlapping snapshot images of a document together to produce one large, high resolution composite. The document is slid under a stationary, over-the-desk camera by hand until all parts of the document are snapshotted by the camera's field of view. As the document slid under the camera, all motion of the document is coarsely tracked by the vision system. The document is periodically snapshotted such that the successive snapshots are overlap by about 50%. The system then finds the overlapped pairs and stitches them together repeatedly until all pairs are stitched together as one piece of document. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Document Mosaicing Chapter 2: Image Stitching Chapter 3: Demosaicing Chapter 4: Document Layout Analysis Chapter 5: Rolling Shutter Chapter 6: Camera Auto-Calibration Chapter 7: Computer Stereo Vision Chapter 8: Rigid Motion Segmentation Chapter 9: Image Texture Chapter 10: Image Rectification (II) Answering the public top questions about document mosaicing. (III) Real world examples for the usage of document mosaicing in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Document Mosaicing.
At the end of his tether, Solomon Wenku contemplates a life gone awry amid widespread postcolonial squalor. Tani enters his life supposedly as a contrast to his encroaching existential gloom only to speed up the pace of his total collapse. Sanya Osha’s cult novel beams a searchlight on what it feels like to survive personally and collectively in unyielding tropical malaise. This web of a narrative pits the rural versus the urban, tradition against modernity with a gallery of immortal characters and with a yearning that sings lushly of freedom.
This book constitutes the refereed proceedings of the 6th International Conference on Advances in Visual Informatics, IVIC 2019, held in Bangi, Malaysia, in November 2019. The 65 papers presented were carefully reviewed and selected from 130 submissions. The papers are organized into the following topics: Visualization and Digital Innovation for Society 5.0; Engineering and Digital Innovation for Society 5.0; Cyber Security and Digital Innovation for Society 5.0; and Social Informatics and Application for Society 5.0.
This book provides unique perspectives on the state of the art in multispectral/hyperspectral techniques for early-warning monitoring against chemical, biological and radiological (CB&R) contamination of both surface (e.g. land) and air (e.g. atmospheric) environments through the presentation of a comprehensive survey of the novel spectroscopic methodologies and technologies that are emerging to address the CB&R defense and security challenges of the future. The technical content in this book lends itself to the non-traditional requirements for point and stand-off detection that have evolved out of the US joint services programs over many years. In particular, the scientific and technological work presented seeks to enable hyperspectral-based sensing and monitoring that is in real time and in-line; low in cost and labor requirements; and easy to support, maintain and use in military and security-relevant scenarios.
This two-volume set (LNCS 13885-13886) constitutes the refereed proceedings of the 23rd Scandinavian Conference on Image Analysis, SCIA 2023, held in Lapland, Finland, in April 2023. The 67 revised papers presented were carefully reviewed and selected from 108 submissions. The contributions are structured in topical sections on datasets and evaluation; action and behaviour recognition; image and video processing, analysis, and understanding; detection, recognition, classification, and localization in 2D and/or 3D; machine learning and deep learning; segmentation, grouping, and shape; vision for robotics and autonomous vehicles; biometrics, faces, body gestures and pose; 3D vision from multiview and other sensors; vision applications and systems.
This volume constitutes the refereed proceedings of the 13th International Conference on Parallel Computing. The papers are organized into topical sections covering support tools and environments, performance prediction and evaluation, scheduling and load balancing, compilers for high performance, parallel and distributed databases, grid and cluster computing, peer-to-peer computing, distributed systems and algorithms, and more.
The book covers the most crucial parts of real-time hyperspectral image processing: causality and real-time capability. Recently, two new concepts of real time hyperspectral image processing, Progressive HyperSpectral Imaging (PHSI) and Recursive HyperSpectral Imaging (RHSI). Both of these can be used to design algorithms and also form an integral part of real time hyperpsectral image processing. This book focuses on progressive nature in algorithms on their real-time and causal processing implementation in two major applications, endmember finding and anomaly detection, both of which are fundamental tasks in hyperspectral imaging but generally not encountered in multispectral imaging. This book is written to particularly address PHSI in real time processing, while a book, Recursive Hyperspectral Sample and Band Processing: Algorithm Architecture and Implementation (Springer 2016) can be considered as its companion book.