Relevant bibliographies by topics / Volumetric 3D

Contents

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

Academic literature on the topic 'Volumetric 3D'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 February 2022

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Journal articles on the topic "Volumetric 3D"

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Imber, Brandon S., Andrew L. Lin, Zhigang Zhang, Krishna Nand Keshavamurthy, Amy Robin Deipolyi, Kathryn Beal, Marc A. Cohen, et al. "Comparison of Radiographic Approaches to Assess Treatment Response in Pituitary Adenomas: Is RECIST or RANO Good Enough?" Journal of the Endocrine Society 3, no. 9 (July 2, 2019): 1693–706. http://dx.doi.org/10.1210/js.2019-00130.

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Abstract Context Pituitary adenomas (PA) are often irregularly shaped, particularly posttreatment. There are no standardized radiographic criteria for assessing treatment response, substantially complicating interpretation of prospective outcome data. Existing imaging frameworks for intracranial tumors assume perfectly spherical targets and may be suboptimal. Objective To compare a three-dimensional (3D) volumetric approach against accepted surrogate measurements to assess PA posttreatment response (PTR). Design Retrospective review of patients with available pre- and postradiotherapy (RT) imaging. A neuroradiologist determined tumor sizes in one dimensional (1D) per Response Evaluation in Solid Tumors (RECIST) criteria, two dimensional (2D) per Response Assessment in Neuro-Oncology (RANO) criteria, and 3D estimates assuming a perfect sphere or perfect ellipsoid. Each tumor was manually segmented for 3D volumetric measurements. The Hakon Wadell method was used to calculate sphericity. Setting Tertiary cancer center. Patients or Other Participants Patients (n = 34, median age = 50 years; 50% male) with PA and MRI scans before and after sellar RT. Interventions Patients received sellar RT for intact or surgically resected lesions. Main Outcome Measure(s) Radiographic PTR, defined as percent tumor size change. Results Using 3D volumetrics, mean sphericity = 0.63 pre-RT and 0.60 post-RT. With all approaches, most patients had stable disease on post-RT scan. PTR for 1D, 2D, and 3D spherical measurements were moderately well correlated with 3D volumetrics (e.g., for 1D: 0.66, P < 0.0001) and were superior to 3D ellipsoid. Intraclass correlation coefficient demonstrated moderate to good reliability for 1D, 2D, and 3D sphere (P < 0.001); 3D ellipsoid was inferior (P = 0.009). 3D volumetrics identified more potential partially responding and progressive lesions. Conclusions Although PAs are irregularly shaped, 1D and 2D approaches are adequately correlated with volumetric assessment.
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Arghavani, J., and G. Abdou. "3D volumetric pallet-loading optimisation." International Journal of Advanced Manufacturing Technology 11, no. 6 (November 1996): 425–29. http://dx.doi.org/10.1007/bf01178968.

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Park, Ji Hun. "3D Mosaic from Images." Applied Mechanics and Materials 752-753 (April 2015): 1081–84. http://dx.doi.org/10.4028/www.scientific.net/amm.752-753.1081.

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This paper presents a tool for 3D object mosaic. Given a set of background removed input images, we first compute a 3D reconstructed volumetric model body using shape from silhouette. The granularity of a volumetric body is the user input. Voxel center coordinates, voxel color, and surface normal of the voxel are computed for 3D mosaic. The voxels of reconstructed volumetric body are replaced by primitive shapes such as sphere, cylinder, cone, etc. We call this process as a 3D mosaic. The background-eliminated input images may contain information on body parts supplied by a user. Using information on body parts, only a part of 3D reconstructed volumetric body is replaced by a new shape while the rest of body retains voxel information. The surface normal values are used for primitive shapes with direction such as a cone. 3D mosaic can be used for emphasizing or deemphasizing a part of 3D reconstructed model body, similar to the function of a 2D image mosaic. Emphasizing and deemphasizing is done by resolution, surface normal, size of body parts, color and/or shape of the 3D primitive object.
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YANG Guang-lei, 杨光磊, 井长龙 JING Chang-long, 裴治棋 PEI Zhi-qi, 张应松 ZHANG Ying-song, 宋志刚 SONG Zhi-gang, and 冯奇斌 FENG Qi-bin. "Solid-state volumetric true 3D display." Chinese Journal of Liquid Crystals and Displays 30, no. 1 (2015): 137–42. http://dx.doi.org/10.3788/yjyxs20153001.0137.

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Patel, Toral S. "3D Volumetric Visualization of MRI Images¬¬." International Journal for Research in Applied Science and Engineering Technology 6, no. 4 (April 30, 2018): 973–76. http://dx.doi.org/10.22214/ijraset.2018.4165.

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Janaszewski, Marcin, Michel Couprie, and Laurent Babout. "Hole filling in 3D volumetric objects." Pattern Recognition 43, no. 10 (October 2010): 3548–59. http://dx.doi.org/10.1016/j.patcog.2010.04.015.

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Regehly, Martin, Yves Garmshausen, Marcus Reuter, Niklas F. König, Eric Israel, Damien P. Kelly, Chun-Yu Chou, Klaas Koch, Baraa Asfari, and Stefan Hecht. "Xolography for linear volumetric 3D printing." Nature 588, no. 7839 (December 23, 2020): 620–24. http://dx.doi.org/10.1038/s41586-020-3029-7.

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Favalora, G. E. "Volumetric 3D displays and application infrastructure." Computer 38, no. 8 (August 2005): 37–44. http://dx.doi.org/10.1109/mc.2005.276.

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Osipov, L. V., N. S. Kulberg, D. V. Leonov, and S. P. Morozov. "3D Ultrasound: Visualization of Volumetric Data." Biomedical Engineering 54, no. 2 (July 2020): 149–54. http://dx.doi.org/10.1007/s10527-020-09993-3.

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Chromy, Adam. "Application of High-Resolution 3D Scanning in Medical Volumetry." International Journal of Electronics and Telecommunications 62, no. 1 (March 1, 2016): 23–31. http://dx.doi.org/10.1515/eletel-2016-0003.

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Abstract This paper deals with application of 3D scanning technology in medicine. Important properties of 3D scanners are discussed with emphasize on medical applications. Construction of medical 3D scanner according to these specifications is described and practical application of its use in medical volumetry is presented. Besides volumetry, such 3D scanner is usable for many other purposes, like monitoring of recovery process, ergonomic splint manufacturing or inflammation detection. 3D scanning introduces novel volumetric method, which is compared with standard methods. The new method is more accurate compared to present ones. Principles of this method are discussed in paper and its accuracy is evaluated and experimentally verified.
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Dissertations / Theses on the topic "Volumetric 3D"

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Khan, Javid. "Holographic volumetric 3D displays." Thesis, Heriot-Watt University, 2014. http://hdl.handle.net/10399/2852.

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The development of a true three-dimensional display that can recreate the light field of an object or scene has been a research goal over the past century. This has recently intensified with the increase in content and proliferation of 3D data across many fields of science and engineering. The literature says that the best approaches to the problem includes holography. The research community has been busy developing the ideal holographic display. However, there are considerable technological challenges that must be overcome before this is a viable proposition. The solutions proposed in this thesis turn the problem around and take a bottom-up view, rather than the traditional top-down one. It turns out that placing certain constraints on the image enables practical implementations of holographic displays. The approach begins with low information content building up towards higher resolution displays by exploring various techniques aimed at improving performance. The work starts with empirical experimental methods that lead to a framework with theory, numerical methods, simulations and tools to design displays. The results are large, bright displays viewable under ambient conditions with human interaction. The work opens up a new avenue of research that lies between volumetric technology and contemporary holographic display research.
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Li, Shuo. "Registration of 3D Volumetric CT Images." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-162599.

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This master thesis aims to develop a system for analyzing transformation between two volumetric CT images. The volumetric image data we process is taken from a composite material. This composite material combines wood fibre and plastic and can be used to make for instance hockey sticks or furniture. Because of the wood fibre embedded in this composite material, it absorbs water and sometimes deforms. By observing volumetric images generated by micro computed tomography (micro-CT), we know that the organization of fibre embedded in this material is very complicated. This makes it difficult to predict the deformation on beforehand. In our study, we have seen rigid transformations, non-rigid transformations and even discontinuities transformations (cracks). For a pair of very small sub volumes, in dry and wet condition, we have found that the transformation can approximated by a rigid transformation combined with a scaling value. To find this transformation, our system includes two key phases. In the first phase, we extract feature points in dry and wet condition. In the second phase, we register the feature points derived from dry and wet condition. In the feature point extraction phase, we have adapted different methods, for instance the Scale- Invariant Feature Transform (SIFT) method is used to extract features. In the registration phase, we have tested three different registration algorithms. The first algorithm is based on concepts from Random Sample Consensus (RANSAC). The second algorithm is inspired from the Iterative Closest Point (ICP) method. The third method is a novel algorithm that we call Spatial Invariant Registration. In the report, we compare the different methods in the feature extraction phase and in the registration phase. Finally, we discuss how our system can be extended to give better results with better accuracy.
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Schwarz, Adam James. "Considerations on volumetric 3D display systems." Thesis, University of Canterbury. Electrical and Electronic Engineering, 1994. http://hdl.handle.net/10092/7572.

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The requirements of display systems are governed by the manner in which the visual world is perceived. An overview of the human visual system, including a discussion of depth cues, is presented and this is followed by a review of 3D display techniques, which includes a comprehensive discussion of volumetric systems. Volumetric displays in which the display volume is swept out by the periodic motion of a 2D screen are termed swept-volume displays; one such system, known as the Cathode Ray Sphere (CRS), is discussed in detail. A number of swept-volume displays, including the CRS, employ a rotating target screen addressed by radiation beams from sources which are stationary with respect to the screen motion. Regions of the display volume which correspond to the beam impinging on the screen at very acute angles are difficult to address accurately and are termed dead zones. The form and position of these regions is determined for both planar and helical screen geometries, and the dependence on the position of the beam source is shown. One particular configuration, namely a planar screen addressed by an equatorial beam source, is examined in detail, and a comprehensive investigation of the factors contributing to the dead zone is presented. The extra dimension of the display space makes an exhaustive raster-type scan of the display volume difficult to achieve on displays in which the voxels are generated sequentially; only the visible voxels comprising the image are thus depicted. Two procedures to order the voxels for display on swept-volume displays such as the CRS are introduced, and the dependence of their optimum performance on the values of certain system parameters is determined. The performance of the two methods is compared on the basis of the voxel positioning error in the direction of screen motion. Volumetric displays which do not employ a moving component to create the volume are termed static volume displays; one means of generating voxels in such a volume is to employ a two-step excitation of fluorescence process. The rate equations governing a simple model system encapsulating this mechanism are determined and solved numerically to indicate the relative timing of the two pumping radiation pulses that maximises the brightness of the resultant voxel. The nonuniformities and anisotropies in certain image quality parameters, such as voxel density, which arise in the display volume are discussed for a range of volumetric techniques, both swept and static volume. A filtering operation included in the graphics pipeline is proposed as a means of ensuring the display volume provides a uniform voxel density. A number of images, image sequences and simple application programs, created to evaluate the visualisation capabilities of the CRS, are discussed.
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Bala, Druhin. "Volumetric Degenerative Routing for 3D Network-On-Chip." Thesis, North Dakota State University, 2014. https://hdl.handle.net/10365/27297.

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As we reach the limits of scaling down of circuits, Three Dimensional Integrated Circuits (3D ICs) offer a very promising opportunity to keep on increasing the processing capacities and speed. In a Multi-Processor System-on-Chip (MPSoC) based embedded system with Network-on-chip (NOC) as the communication architecture, routing of the traffic among the Processing Elements (PEs) contributes significantly to the global latency, throughput and energy consumption. Almost all prior studies have focused on 2D NOC designs. The field of 3D integration is relatively new and has emerged to provide an alternate solution for high performance computation. This paper introduces a new routing algorithm which aims to improve performance characteristics of conventional existing algorithms. Volumetric Degenerative Routing, as proposed in this paper, reduces maximum delay by as much as 40%.
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Diskin, Yakov. "Volumetric Change Detection Using Uncalibrated 3D Reconstruction Models." University of Dayton / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1429293660.

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Briggs, James R., Michael R. Deis, and Jason Geng. "VOLUMETRIC 3D VISUALIZATION OF TEST AND EVALUATION OPERATIONS." International Foundation for Telemetering, 1999. http://hdl.handle.net/10150/606823.

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International Telemetering Conference Proceedings / October 25-28, 1999 / Riviera Hotel and Convention Center, Las Vegas, Nevada
Time-Space-Position-Information (TSPI) visualization systems used today at the Air Force Flight Test Center (AFFTC) and simulation visualization tools used at the Air Armament Center (AAC) utilize two-dimensional (2D) display systems for both real-time and post-mission data analysis. Examples are monitors and large screen projection systems. Some TSPI visualization systems generate three-dimensional (3D) data as output, but the 3D data is translated so that it is compatible with 2D display systems. Currently, 3D volumetric display systems are being utilized by the Federal Aviation Administration (FAA) for monitoring air traffic in 3D without 3D goggles. The aircraft’s position information is derived from radar and fed to a volumetric display. The AFFTC and AAC need a similar system for Open Air Range testing utilizing the Global Positioning System (GPS) as the source of position information and Installed Systems Testing utilizing 6 Degree of Freedom (DOF) flight simulation data as the source of position information. This system should be capable of displaying realistic terrain structures, vehicle models and physical test configurations along with text data overlays. The ability to display the mission in real-time on a volumetric 3D display makes it possible for test engineers to observe resource utilization continuously as the mission develops. Quicker turn-around times in the decision process will lead to more efficient use of limited test resources and will increase the information content of the data being collected.
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Svensson, Martin. "Accelerated Volumetric Next-Best-View Planning in 3D Mapping." Thesis, Linköpings universitet, Datorseende, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-111905.

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The Next-Best-View (NBV) problem plays an important part in automatic 3D object reconstruction and exploration applications. This thesis presents a novel approach of ray-casting in Occupancy Grid Maps (OGM) in the context of solving the NBV problem in a 3D-exploration setting. The proposed approach utilizes the structure of an octree-based OGM to perform calculations of potential information gain. The computations are significantly faster than current methods, without decreasing mapping quality. Performance, both in terms of mapping quality, coverage and computational complexity, is experimentally verified through a comparison with existing state-of-the-art methods using high-resolution point cloud data generated using time-of-flight laser range scanners. Current methods for viewpoint ranking focus either heavily on mapping performance or computation speed. The results presented in this thesis indicate that the proposed method is able to achieve a mapping performance similar to the performance-oriented approaches while maintaining the same low computation speed as more approximative methods.
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Nitschke, Christian. "3D reconstruction : real-time volumetric scene reconstruction from multiple views /." Saarbrücken : VDM Verl. Müller, 2007. http://deposit.d-nb.de/cgi-bin/dokserv?id=2939698&prov=M&dok_var=1&dok_ext=htm.

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Robinson, Martin J. "A logical formulation of the 3D reconstruction problem using volumetric framework /." [St. Lucia, Qld.], 2003. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe17245.pdf.

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Xing, Baoyuan. "Improved 3D Heart Segmentation Using Surface Parameterization for Volumetric Heart Data." Digital WPI, 2013. https://digitalcommons.wpi.edu/etd-theses/270.

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Imaging modalities such as CT, MRI, and SPECT have had a tremendous impact on diagnosis and treatment planning. These imaging techniques have given doctors the capability to visualize 3D anatomy structures of human body and soft tissues while being non-invasive. Unfortunately, the 3D images produced by these modalities often have boundaries between the organs and soft tissues that are difficult to delineate due to low signal to noise ratios and other factors. Image segmentation is employed as a method for differentiating Regions of Interest in these images by creating artificial contours or boundaries in the images. There are many different techniques for performing segmentation and automating these methods is an active area of research, but currently there are no generalized methods for automatic segmentation due to the complexity of the problem. Therefore hand-segmentation is still widely used in the medical community and is the €œGold standard€� by which all other segmentation methods are measured. However, existing manual segmentation techniques have several drawbacks such as being time consuming, introduce slice interpolation errors when segmenting slice-by-slice, and are generally not reproducible. In this thesis, we present a novel semi-automated method for 3D hand-segmentation that uses mesh extraction and surface parameterization to project several 3D meshes to 2D plane . We hypothesize that allowing the user to better view the relationships between neighboring voxels will aid in delineating Regions of Interest resulting in reduced segmentation time, alleviating slice interpolation artifacts, and be more reproducible.
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Books on the topic "Volumetric 3D"

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Nitschke, Christian. 3D reconstruction: Real-time volumetric scene reconstruction from multiple views. Saarbrücken: VDM, Verlag Dr. Müller, 2007.

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Weng, Naiqi. 3D computer puppetry on volumetric displays. 2005.

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Žižka, Jan, and Jan Kopřiva. Temporal Bone CT and MRI Anatomy: A Guide to 3D Volumetric Acquisitions. Springer, 2016.

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Book chapters on the topic "Volumetric 3D"

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Blundell, Barry G. "Volumetric 3D Displays." In Handbook of Visual Display Technology, 1–17. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-642-35947-7_116-2.

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Blundell, Barry G. "Volumetric 3D Displays." In Handbook of Visual Display Technology, 1917–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-540-79567-4_116.

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Blundell, Barry G. "Volumetric 3D Displays." In Handbook of Visual Display Technology, 2671–87. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-14346-0_116.

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Eisert, Peter. "Reconstruction of Volumetric 3D Models." In 3D Videocommunication, 133–50. Chichester, UK: John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/0470022736.ch8.

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Fortner, Brand. "3D Matrix (Volumetric) Data." In The Data Handbook, 129–42. New York, NY: Springer New York, 1995. http://dx.doi.org/10.1007/978-1-4612-2538-6_10.

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Rakkolainen, Ismo. "Pseudo-Volumetric 3D Display Solutions." In Handbook of Visual Display Technology, 1–10. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-642-35947-7_117-2.

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Rakkolainen, Ismo. "Pseudo-volumetric 3D Display Solutions." In Handbook of Visual Display Technology, 1–10. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-642-35947-7_117-3.

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Rakkolainen, Ismo. "Pseudo-Volumetric 3D Display Solutions." In Handbook of Visual Display Technology, 1933–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-540-79567-4_117.

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Wu, Zhongke, and Edmond C. Prakash. "Volumetric Modelling of 3D Text." In Volume Graphics, 379–88. London: Springer London, 2000. http://dx.doi.org/10.1007/978-1-4471-0737-8_25.

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Rakkolainen, Ismo. "Pseudo-volumetric 3D Display Solutions." In Handbook of Visual Display Technology, 2689–98. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-14346-0_117.

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Conference papers on the topic "Volumetric 3D"

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Delrot, Paul, Damien Loterie, Jorge Andres Madrid Wolff, and Christophe Moser. "Intelligent volumetric additive manufacturing." In Laser 3D Manufacturing VIII, edited by Henry Helvajian, Bo Gu, and Hongqiang Chen. SPIE, 2021. http://dx.doi.org/10.1117/12.2576886.

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Delrot, Paul, Damien Loterie, and Christophe Moser. "Smart 3D Volumetric Printing." In 2021 21st International Conference on Solid-State Sensors, Actuators and Microsystems (Transducers). IEEE, 2021. http://dx.doi.org/10.1109/transducers50396.2021.9495538.

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Mccormac, John, Ronald Clark, Michael Bloesch, Andrew Davison, and Stefan Leutenegger. "Fusion++: Volumetric Object-Level SLAM." In 2018 International Conference on 3D Vision (3DV). IEEE, 2018. http://dx.doi.org/10.1109/3dv.2018.00015.

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Huang, Chun-Hao, Benjamin Allain, Jean-Sebastien Franco, Nassir Navab, Slobodan Ilic, and Edmond Boyer. "Volumetric 3D Tracking by Detection." In 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2016. http://dx.doi.org/10.1109/cvpr.2016.419.

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Osmanis, Kriss, Gatis Valters, Roberts Zabels, Ugis Gertners, Ilmars Osmanis, Livs Kalnins, Una Kandere, and Ainars Ozols. "Advanced multiplanar volumetric 3d display." In Emerging Liquid Crystal Technologies XIII, edited by Igor Muševič, Liang-Chy Chien, Dirk J. Broer, and Vladimir G. Chigrinov. SPIE, 2018. http://dx.doi.org/10.1117/12.2297629.

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Burney, Michael H. "Converting 3D into volumetric images." In AeroSense '97, edited by Darrel G. Hopper. SPIE, 1997. http://dx.doi.org/10.1117/12.277006.

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Soltan, Parviz, Mark E. Lasher, Weldon J. Dahlke, Neil P. Acantilado, and Malvyn McDonald. "Laser-projected 3D volumetric displays." In AeroSense '97, edited by Darrel G. Hopper. SPIE, 1997. http://dx.doi.org/10.1117/12.277007.

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Osmanis, Kriss, Gatis Valters, and Ilmars Osmanis. "3D volumetric display design challenges." In 2013 NORCHIP. IEEE, 2013. http://dx.doi.org/10.1109/norchip.2013.6702001.

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Lasher, Mark E., Parviz Soltan, Weldon J. Dahlke, Neil P. Acantilado, and Malvyn McDonald. "Laser-projected 3D volumetric displays." In Electronic Imaging: Science & Technology, edited by Ming H. Wu. SPIE, 1996. http://dx.doi.org/10.1117/12.237012.

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Soltan, Parviz, Mark E. Lasher, Weldon J. Dahlke, Neil P. Acantilado, and Malvyn McDonald. "Laser-projected 3D volumetric displays." In International Symposium on Intensive Laser Actions and Their Applications and Laser Applications Engineering, edited by Vadim P. Veiko. SPIE, 1997. http://dx.doi.org/10.1117/12.271781.

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Reports on the topic "Volumetric 3D"

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Soltan, Parviz, John Trias, Waldo Robinson, and Weldon Dahlke. Laser Based 3D Volumetric Display System. Fort Belvoir, VA: Defense Technical Information Center, March 1993. http://dx.doi.org/10.21236/ada264825.

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