Relevant bibliographies by topics / Image Mosaicking

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Image Mosaicking'

Author: Grafiati
Published: 4 June 2021
Last updated: 3 February 2022

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Journal articles on the topic "Image Mosaicking"

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Tsai, Victor Jung‐Der, and Ying‐Ting Huang. "Automated image mosaicking." Journal of the Chinese Institute of Engineers 28, no. 2 (2005): 329–40. http://dx.doi.org/10.1080/02533839.2005.9670998.

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Kim, H. G., J. H. Son, and T. Kim. "AUTOMATED MOSAICKING OF GEOSTATIONARY OCEAN COLOR IMAGER BY COMBINATION OF SPATIAL AND FREQUENCY MATCHING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2 (May 30, 2018): 495–99. http://dx.doi.org/10.5194/isprs-archives-xlii-2-495-2018.

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In general, image mosaicking is a useful and important processing for handling images with narrow field of view. It is being used widely for images from commercial cameras as well as from aerial and satellite cameras. For mosaicking images with geometric distortion, geometric correction of each image should be performed before combining images. However, automated mosaicking images with geometric distortion is not a trivial task. The goal of this paper is the development of automated mosaicking techniques applicable to handle GOCI images. In this paper, we try to extract tie-points by using spa
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Fan, Fan, Xiaoyu Jiang, Xingpeng Yan, et al. "Holographic Element-Based Effective Perspective Image Segmentation and Mosaicking Holographic Stereogram Printing." Applied Sciences 9, no. 5 (2019): 920. http://dx.doi.org/10.3390/app9050920.

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Effective perspective image segmentation and mosaicking (EPISM) method is an effective holographic stereogram printing method, but a mosaic misplacement of reconstruction image occurred when focusing away from the reconstruction image plane. In this paper, a method known as holographic element-based effective perspective image segmentation and mosaicking is proposed. Holographic element (hogel) correspondence is used in EPISM method as pixel correspondence is used in direct-writing digital holography (DWDH) method to generate effective perspective images segments. The synthetic perspective ima
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Santellani, E., E. Maset, and A. Fusiello. "SEAMLESS IMAGE MOSAICKING VIA SYNCHRONIZATION." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-2 (May 28, 2018): 247–54. http://dx.doi.org/10.5194/isprs-annals-iv-2-247-2018.

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This paper proposes an innovative method to create high-quality seamless planar mosaics. The developed pipeline ensures good robustness against many common mosaicking problems (e.g., misalignments, colour distortion, moving objects, parallax) and differs from other works in the literature because a global approach, known as <i>synchronization</i>, is used for image registration and colour correction. To better conceal the mosaic seamlines, images are cut along specific paths, computed using a Voronoi decomposition of the mosaic area and a shortest path algorithm. Results obtained o
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Li, Ming, Deren Li, Bingxuan Guo, Lin Li, Teng Wu, and Weilong Zhang. "Automatic Seam-Line Detection in UAV Remote Sensing Image Mosaicking by Use of Graph Cuts." ISPRS International Journal of Geo-Information 7, no. 9 (2018): 361. http://dx.doi.org/10.3390/ijgi7090361.

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Image mosaicking is one of the key technologies in data processing in the field of computer vision and digital photogrammetry. For the existing problems of seam, pixel aliasing, and ghosting in mosaic images, this paper proposes and implements an optimal seam-line search method based on graph cuts for unmanned aerial vehicle (UAV) remote sensing image mosaicking. This paper first uses a mature and accurate image matching method to register the pre-mosaicked UAV images, and then it marks the source of each pixel in the overlapped area of adjacent images and calculates the energy value contribut
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Zhao, Jianqing, Xiaohu Zhang, Chenxi Gao, et al. "Rapid Mosaicking of Unmanned Aerial Vehicle (UAV) Images for Crop Growth Monitoring Using the SIFT Algorithm." Remote Sensing 11, no. 10 (2019): 1226. http://dx.doi.org/10.3390/rs11101226.

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To improve the efficiency and effectiveness of mosaicking unmanned aerial vehicle (UAV) images, we propose in this paper a rapid mosaicking method based on scale-invariant feature transform (SIFT) for mosaicking UAV images used for crop growth monitoring. The proposed method dynamically sets the appropriate contrast threshold in the difference of Gaussian (DOG) scale-space according to the contrast characteristics of UAV images used for crop growth monitoring. Therefore, this method adjusts and optimizes the number of matched feature point pairs in UAV images and increases the mosaicking effic
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Mehrdad, S., M. Satari, M. Safdary, and P. Moallem. "TOWARD REAL TIME UAVS’ IMAGE MOSAICKING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 6, 2016): 941–46. http://dx.doi.org/10.5194/isprsarchives-xli-b1-941-2016.

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Anyone knows that sudden catastrophes can instantly do great damage. Fast and accurate acquisition of catastrophe information is an essential task for minimize life and property damage. Compared with other ways of catastrophe data acquisition, UAV based platforms can optimize time, cost and accuracy of the data acquisition, as a result UAVs’ data has become the first choice in such condition. In this paper, a novel and fast strategy is proposed for registering and mosaicking of UAVs’ image data. Firstly, imprecise image positions are used to find adjoining frames. Then matching process is done
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Mehrdad, S., M. Satari, M. Safdary, and P. Moallem. "TOWARD REAL TIME UAVS’ IMAGE MOSAICKING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 6, 2016): 941–46. http://dx.doi.org/10.5194/isprs-archives-xli-b1-941-2016.

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Anyone knows that sudden catastrophes can instantly do great damage. Fast and accurate acquisition of catastrophe information is an essential task for minimize life and property damage. Compared with other ways of catastrophe data acquisition, UAV based platforms can optimize time, cost and accuracy of the data acquisition, as a result UAVs’ data has become the first choice in such condition. In this paper, a novel and fast strategy is proposed for registering and mosaicking of UAVs’ image data. Firstly, imprecise image positions are used to find adjoining frames. Then matching process is done
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Kim, Jae-In, Hyun-cheol Kim, and Taejung Kim. "Robust Mosaicking of Lightweight UAV Images Using Hybrid Image Transformation Modeling." Remote Sensing 12, no. 6 (2020): 1002. http://dx.doi.org/10.3390/rs12061002.

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This paper proposes a robust feature-based mosaicking method that can handle images obtained by lightweight unmanned aerial vehicles (UAVs). The imaging geometry of small UAVs can be characterized by unstable flight attitudes and low flight altitudes. These can reduce mosaicking performance by causing insufficient overlaps, tilted images, and biased tiepoint distributions. To solve these problems in the mosaicking process, we introduce the tiepoint area ratio (TAR) as a geometric stability indicator and orthogonality as an image deformation indicator. The proposed method estimates pairwise tra
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Litvinov, Anatoly, and Yoav Y. Schechner. "Radiometric framework for image mosaicking." Journal of the Optical Society of America A 22, no. 5 (2005): 839. http://dx.doi.org/10.1364/josaa.22.000839.

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Dissertations / Theses on the topic "Image Mosaicking"

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Huang, Ying. "Progressive image mosaicking in wireless image sensor networks." Thesis, University of Ottawa (Canada), 2009. http://hdl.handle.net/10393/28439.

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Prevailing image mosaicking algorithms generate a complete image that incorporates a variety of different images. This variety is captured by different camera sensors. However, these traditional approaches cannot be directly applied to the emerging Wireless Image Sensor Networks (WISNs), because the slow image transmission over a wireless channel causes a noticeable delay before an entire image can be received by its receiver node in a WISN. In this thesis, we propose a Progressive Image Mosaicking Algorithm (PIMA) based on the multi-scan feature of Progressive JPEG (P-JPEG). PIMA's distinguis
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Bradley, Justin Mathew. "Particle Filter Based Mosaicking for Forest Fire Tracking." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd2001.pdf.

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Grönberg, Axel. "Image Mosaicking Using Vessel Segmentation for Application During Fetoscopic Surgery." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-438422.

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Twin-to-twin-transfusion syndrome is a condition where there is an imbalance in the shared blood circulation between monochorionic twin fetuses due to certaininter-twin vascular connections (anastomoses) in the placenta which has very high morbidity and mortality rate for both fetuses. Fetoscopic laser occlusive coagulation(FLOC) surgery is commonly used to treat the condition which uses a fetoscope to explore the placenta and a laser to occlude the anastomoses causing the imbalance inblood circulation. In order to deal with the navigational difficulties caused by the limited field of view of
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Kee, Eric. "Video Mosaicking Using Ancillary Data to Facilitate Size Estimation." Thesis, Virginia Tech, 2003. http://hdl.handle.net/10919/32693.

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This thesis describes a mosaicking system designed to generate image mosaics that facilitate size estimation of 3-dimensional objects by improving data obtained with a multi-sensor video camera. The multi-sensor camera is equipped with a pulse laser-rangefinder and internally mounted inclinometers that measure instrument orientation about three axes. Using orientation data and video data, mosaics are constructed to reduce orientation data errors by augmenting orientation data with image information. Mosaicking is modeled as a 7-step refinement process: 1) an initial mosaic is constructed us
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Mills, Alec. "A stitch in time a dissertation on video mosaicking /." Thesis, McGill University, 2009. http://digitool.Library.McGill.CA:8881/R/?func=dbin-jump-full&object_id=32557.

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Orduyilmaz, Adnan. "AUTOMATED IMAGE REGISTRATION AND MOSAICKING FOR MULTI-SENSOR IMAGES ACQUIRED BY A MINIATURE UNMANNED AERIAL VEHICLE PLATFORM." MSSTATE, 2006. http://sun.library.msstate.edu/ETD-db/theses/available/etd-06162006-103653/.

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Algorithms for automatic image registration and mosaicking are developed for a miniature Unmanned Aerial Vehicle (MINI-UAV) platform, assembled by Air-O-Space International (AOSI) L.L.C.. Three cameras onboard this MINI-UAV platform acquire images in a single frame simultaneously at green (550nm), red (650 nm), and near infrared (820nm) wavelengths, but with shifting and rotational misalignment. The area-based method is employed in the developed algorithms for control point detection, which is applicable when no prominent feature details are present in image scenes. Because the three images to
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Radford, Scott Carson. "Real-Time Roadway Mapping and Ground Robotic Path Planning Via Unmanned Aircraft." Thesis, Virginia Tech, 2014. http://hdl.handle.net/10919/50431.

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The thesis details the development of computer vision and path planning algorithms in order to map an area via UAV aerial imagery and aid a UGV in navigating a roadway when the road conditions are not previously known (i.e. disaster situations). Feature detection was used for transform calculation and image warping to create mosaics. A continuous extension using dynamic cropping based on newly gathered images was used to improve performance and computation time. Road detection using k-means segmentation and binary image morphing was applied to aerial imagery with image shifting tracked by the
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Clark, Nicholas, and Fiona Dunne. "INTEGRATED CAMERAS AS A REPLACEMENT FOR VEHICULAR MIRRORS." International Foundation for Telemetering, 2006. http://hdl.handle.net/10150/604131.

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ITC/USA 2006 Conference Proceedings / The Forty-Second Annual International Telemetering Conference and Technical Exhibition / October 23-26, 2006 / Town and Country Resort & Convention Center, San Diego, California<br>Drivers’ visibility is an area of automobile safety that has seen very limited improvement over the past several decades. Limited visibility is responsible for many car accidents all across America. Mirrors require constant readjustment, and are easily blocked. There is currently a lot of interest in ways to reduce or eliminate all mirrors on a car, and one such method is throug
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Johansen, David Linn. "Video Stabilization and Target Localization Using Feature Tracking with Video from Small UAVs." Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1522.pdf.

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Gurrieri, Luis E. "The Omnidirectional Acquisition of Stereoscopic Images of Dynamic Scenes." Thèse, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/30923.

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This thesis analyzes the problem of acquiring stereoscopic images in all gazing directions around a reference viewpoint in space with the purpose of creating stereoscopic panoramas of non-static scenes. The generation of immersive stereoscopic imagery suitable to stimulate human stereopsis requires images from two distinct viewpoints with horizontal parallax in all gazing directions, or to be able to simulate this situation in the generated imagery. The available techniques to produce omnistereoscopic imagery for human viewing are not suitable to capture dynamic scenes stereoscopically. This i
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Books on the topic "Image Mosaicking"

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Howland, Jonathan C. Electronic still camera processing mosaicking. Woods Hole Oceanographic Institution, 1999.

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Automated digital mosaicking of airborne videography. U.S. Dept. of Agriculture, Forest Service, Forest Health Technology Enterprise Team, 1996.

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Ortiz, Alberto, and Emilio Garcia-Fidalgo. Methods for Appearance-based Loop Closure Detection: Applications to Topological Mapping and Image Mosaicking. Springer, 2019.

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Ortiz, Alberto, and Emilio Garcia-Fidalgo. Methods for Appearance-based Loop Closure Detection: Applications to Topological Mapping and Image Mosaicking. Springer, 2018.

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Book chapters on the topic "Image Mosaicking"

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Seshamani, Sharmishtaa, William Lau, and Gregory Hager. "Real-Time Endoscopic Mosaicking." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11866565_44.

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Meidow, Jochen. "Efficient Video Mosaicking by Multiple Loop Closing." In Photogrammetric Image Analysis. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24393-6_1.

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Gaspar, José, Miguel Realpe, Boris Vintimilla, and José Santos-Victor. "Mosaicking Cluttered Ground Planes Based on Stereo Vision." In Pattern Recognition and Image Analysis. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-72849-8_3.

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Rojas, Juan, Carol Martinez, Ivan Mondragon, and Julian Colorado. "Towards Image Mosaicking with Aerial Images for Monitoring Rice Crops." In Advances in Automation and Robotics Research in Latin America. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54377-2_24.

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Bano, Sophia, Francisco Vasconcelos, Luke M. Shepherd, et al. "Deep Placental Vessel Segmentation for Fetoscopic Mosaicking." In Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59716-0_73.

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Al-Kaff, Abdulla, Juan Camilo Soto Triviño, Raúl Sosa San Frutos, Arturo de la Escalera, and José María Armingol Moreno. "Aerial Image Mosaicking for Multi-purpose Civil Applications." In ROBOT 2017: Third Iberian Robotics Conference. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70833-1_65.

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Garcia, Rafael, Xevi Cufí, and Viorela Ila. "Recovering Camera Motion in a~Sequence of Underwater Images through Mosaicking." In Pattern Recognition and Image Analysis. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-44871-6_30.

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Garcia-Fidalgo, Emilio, and Alberto Ortiz. "Fast Image Mosaicking Using Incremental Bags of Binary Words." In Methods for Appearance-based Loop Closure Detection. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75993-7_8.

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Avola, Danilo, Gian Luca Foresti, Niki Martinel, Christian Micheloni, Daniele Pannone, and Claudio Piciarelli. "Real-Time Incremental and Geo-Referenced Mosaicking by Small-Scale UAVs." In Image Analysis and Processing - ICIAP 2017. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68560-1_62.

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Richa, Rogério, Balázs Vágvölgyi, Marcin Balicki, Gregory Hager, and Russell H. Taylor. "Hybrid Tracking and Mosaicking for Information Augmentation in Retinal Surgery." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33415-3_49.

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Conference papers on the topic "Image Mosaicking"

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Sapra, Karan, and Stanley T. Birchfield. "Fast image mosaicking using optical flow." In SOUTHEASTCON 2011. IEEE, 2011. http://dx.doi.org/10.1109/secon.2011.5752945.

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Wang, Tao, and Jianhua Gong. "Image mosaicking from aerial unmanned airplane." In Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images, edited by Lin Liu, Xia Li, Kai Liu, and Xinchang Zhang. SPIE, 2008. http://dx.doi.org/10.1117/12.813236.

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Sadjadi, Firooz, Sekhar Tangirala, and Scott Sorber. "Underwater image mosaicking and visual odometry." In SPIE Defense + Security, edited by Firooz A. Sadjadi and Abhijit Mahalanobis. SPIE, 2017. http://dx.doi.org/10.1117/12.2263213.

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Boukerche, Azzedine, Ying Huang, Jing Feng, and Richard Pazzi. "Progressive image mosaicking in wireless image sensor networks." In the 6th ACM international symposium. ACM Press, 2008. http://dx.doi.org/10.1145/1454659.1454677.

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Jiang, Nan, Changchun Li, Glen Abousleman, and Jennie Si. "Unlimited-size mosaicking of airborne image data." In Defense and Security Symposium, edited by Daniel J. Henry. SPIE, 2007. http://dx.doi.org/10.1117/12.719833.

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Lucchese, Luca, Simone Leorin, and Guido Cortelazzo. "Image Mosaicking Through Macro-Feature Affine Matching." In 2005 IEEE 7th Workshop on Multimedia Signal Processing. IEEE, 2005. http://dx.doi.org/10.1109/mmsp.2005.248650.

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Bergen, T., S. Ruthotto, C. Munzenmayer, S. Rupp, D. Paulus, and C. Winter. "Feature-based real-time endoscopic mosaicking." In 2009 6th International Symposium on Image and Signal Processing and Analysis. IEEE, 2009. http://dx.doi.org/10.1109/ispa.2009.5297633.

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Xia, Menghan, Man Yao, Li Li, and Xiaohu Lu. "Globally consistent alignment for mosaicking aerial images." In 2015 IEEE International Conference on Image Processing (ICIP). IEEE, 2015. http://dx.doi.org/10.1109/icip.2015.7351361.

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Yi Wang, Ronald Fevig, and Richard R. Schultz. "Super-resolution mosaicking of UAV surveillance video." In 2008 15th IEEE International Conference on Image Processing. IEEE, 2008. http://dx.doi.org/10.1109/icip.2008.4711762.

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Lv, Jieyong, and Pengwei Hao. "In-Focus Imaging by Mosaicking and Super-Resolution." In 2006 International Conference on Image Processing. IEEE, 2006. http://dx.doi.org/10.1109/icip.2006.313064.

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