"Depth Estimation Based on Stereo Image Using Passive Sensor"

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Book	Author(s)	Year	Publisher
Passive target tracking using nonlinear estimation theory	Marcilio Boavista Da Cunha	1976	Naval Postgraduate School;Available from National Technical Information Service
Passive range estimation using over sea multipath	Avner Gal	1988	Naval Postgraduate School
Preliminary implementation of a ratio image depth sensor.	C. Marc Bastuscheck	1984	Courant Institute of Mathematical Sciences, New York University
Look-up table computation for ratio image depth sensor.	C. Marc Bastuscheck	1984	Courant Institute of Mathematical Sciences, New York University
Ground-Based Aerosol Optical Depth Measurement Using Sunphotometers	Jedol Dayou; Jackson Hian Wui Chang; Justin Sentian	2014	Springer Nature Singapore
Security for Wireless Sensor Networks using Identity-Based Cryptography	Harsh Kupwade Patil; Stephen A. Szygenda	2012	Routledge
Phishing Detection Using Content-Based Image Classification	Shekhar Khandelwal; Rik Das	2022	Routledge
View Synthesis Using Stereo Vision	Daniel Scharstein	1999	Springer Berlin Heidelberg
Wireless Sensor Networks: Distributed Consensus Estimation	Cailian Chen; Shanying Zhu; Xinping Guan; Xuemin (Sherman) Shen	2014	Springer International Publishing
Distributed Sensor Networks: Image and Sensor Signal Processing	S. Sitharama Iyengar; Richard R. Brooks	2012	Routledge
Geological Disaster Monitoring Based on Sensor Networks	Tariq S. Durrani; Wei Wang; Sheila M Forbes	1st ed. 2019	Springer Nature Singapore
Estimation of Dependences Based on Empirical Data	V. Vapnik	1st ed. 1982. Reprint 2006	Springer New York
Estimation of dependences based on empirical data /	Vapnik, Vladimir Naumovich.; Kotz, Samuel.	c2006.	Springer,
3D-TV System with Depth-Image-Based Rendering: Architectures, Techniques and Challenges	Ce Zhu; Yin Zhao; Lu Yu; Masayuki Tanimoto	2012	Springer New York
Landmark-Based Image Analysis: Using Geometric and Intensity Models	Karl Rohr	2001	Springer Netherlands
Image Denoising using Self-Organizing Map-Based Nonlinear In
A Biologically Inspired CMOS Image Sensor	Mukul Sarkar; Albert Theuwissen	2013	Springer Berlin Heidelberg
Surface Micromachined Capacitive Tactile Image Sensor	M. R. Wolffenbuttel	December 1994	Delft Univ Pr
Watermark Embedding Mechanism Using Modulus-based for Intellectual Property Protection on Image Data	Wang Yang
Received Signal Strength Based Target Localization and Tracking Using Wireless Sensor Networks	Satish R. Jondhale; R. Maheswar; Jaime Lloret	1st ed. 2022	Springer International Publishing
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Depth Estimation Based on Stereo Image Using Passive Sensor	Rostam Affendi Hamzah; M. G. Y. Wei; N. S. N. Anwar; S. F. Abd Gani; A. F. Kadmin; K. A. A. Aziz	Advances in Electronics Engineering: Proceedings of the ICCEE 2019, Kuala Lumpur, Malaysia	Zahriladha Zakaria; Rabiah Ahmad	1st ed. 2020	Springer Nature Singapore
Stereo Vision-Based Depth Estimation	Zelin Meng; Xiangbo Kong; Lin Meng; Hiroyuki Tomiyama	Advances in Artificial Intelligence and Data Engineering: Select Proceedings of AIDE 2019	Niranjan N. Chiplunkar; Takanori Fukao	1st ed. 2021	Springer Nature Singapore
Depth Estimation From Stereo Video		MATLAB and Simulink. Computer Vision Toolbox™ User's Guide	coll	2021	MathWorks, Inc.
Stereo Matching and Depth Estimation		Machine Vision and Image Recognition	Johan Pehcevski	2020	Arcler Press
Depth from Stereo Image Sequences	Larry Matthies	High Precision Navigation: Integration of Navigational and Geodetic Methods	Klaus Linkwitz; Ulrich Hangleiter	1989	Springer Berlin Heidelberg
Motion — Stereo Integration for Depth Estimation	Christoph Strecha; Luc Van Gool	Computer Vision - ECCV 2002: 7th European Conference on Computer Vision, Copenhagen, Denmark, May 28-31, 2002. Proceedings. Part II	Anders Heyden; Gunnar Sparr; Mads Nielsen; Peter Johansen	2002	Springer Berlin Heidelberg
772 Depth Estimation fromÂ Stereo Images		Artificial Intelligence Programming with Python from Zero to Hero	Perry Xiao	2022	John WIley
Depth Mapping Method Based on Stereo Pairs	Vasiliy E. Gai; Igor V. Polyakov; Olga V. Andreeva	Advances in Neural Computation, Machine Learning, and Cognitive Research III: Selected Papers from the XXI International Conference on Neuroinformatics, October 7-11, 2019, Dolgoprudny, Moscow Region, Russia	Boris Kryzhanovsky; Witali Dunin-Barkowski; Vladimir Redko; Yury Tiumentsev	1st ed. 2020	Springer International Publishing
passive stereo		Dictionary of Computer Vision and Image Processing	Robert B. Fisher, Kenneth Dawson-Howe, Andrew Fitzgibbon, Craig Robertson, Emanuele Trucco	2005	Wiley
Depth Estimation Using Blob Detection for Stereo Vision Images	R. Arokia Priya Charles; Anupama V. Patil	ICT Analysis and Applications: Proceedings of ICT4SD 2020, Volume 2	Simon Fong; Nilanjan Dey; Amit Joshi	1st ed. 2021	Springer Nature Singapore
FFT-Based Disparity Estimation for Stereo Image Coding	Udo Ahlvers; Udo Zoelzer; Stefan Rechmeier	Pattern Recognition: 25th DAGM Symposium, Magdeburg, Germany, September 10-12, 2003, Proceedings	Bernd Michaelis; Gerard Krell	2003	Springer Berlin Heidelberg
PDE Based Dense Depth Estimation for Stereo Fisheye Image Pair and Uncertainty Quantification	Sandesh Athni Hiremath	Computational Science and Its Applications – ICCSA 2020: 20th International Conference, Cagliari, Italy, July 1–4, 2020, Proceedings, Part III	Osvaldo Gervasi; Beniamino Murgante; Sanjay Misra; Chiara Garau; Ivan Blečić; David Taniar; Bernady O. Apduhan; Ana Maria A. C. Rocha; Eufemia Tarantino; Carmelo Maria Torre; Yeliz Karaca	1st ed. 2020	Springer International Publishing
Sensor-Based Depth Capturing	João G.M. Gonçalves; Vítor Sequeira	3D Videocommunication - Algorithms, Concepts and Real-time Systems in Human Centred Communication	Oliver Schreer	2005	John Wiley & Sons
Computing depth from a stereo image		OpenCV 4 Computer Vision Application Programming Cookbook: Build complex computer vision applications with OpenCV and C++, 4th Edition	David Millán Escrivá; Robert Laganiere	2019	Packt Publishing Ltd
Depth Image-Based Rendering System by Kinect Sensor	Beom-Seok Oh; Eungyeol Song; Sunjin Yu	Frontier Computing: Proceedings of FC 2020	Jia-Wei Chang; Neil Yen; Jason C. Hung	1st ed. 2021	Springer Nature Singapore
Single Image-Based Food Volume Estimation Using Monocular Depth-Prediction Networks	Alexandros Graikos; Vasileios Charisis; Dimitrios Iakovakis; Stelios Hadjidimitriou; Leontios Hadjileontiadis	Universal Access in Human-Computer Interaction. Applications and Practice: 14th International Conference, UAHCI 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings, Part II	Margherita Antona; Constantine Stephanidis	1st ed. 2020	Springer International Publishing
Image-Based Estimation of Passive Myocardial Properties Using Finite Element Modeling	Alexander I. Veress; Benjamin R. Coleman; Genevieve Farrar; W. Paul Segars; Brian C. Fabien	Handbook of Imaging in Biological Mechanics	Corey P. Neu; Guy M. Genin	2014	Routledge
92 Single image depth estimation		Optics and Artificial Vision	Rafael G. González-Acuña, Hector A. Chaparro-Romo, Israel Melendez-Montoya	2021	IOP Publishing
Head Pose Estimation from Passive Stereo Images	M. D. Breitenstein; J. Jensen; C. Høilund; T. B. Moeslund; L. Van Gool	Image Analysis: 16th Scandinavian Conference, SCIA 2009, Oslo, Norway, June 15-18, Proceedings	Arnt-Borre Salberg; Jon Yngve Hardeberg; Robert Jenssen	2009	Springer Berlin Heidelberg
432 Depth measurement based on binocular stereo vision		Smart Sensing for Traffic Monitoring (Transportation)	Nobuyuki Ozaki (editor)	2021	Institution of Engineering and Technology
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