1st and 2nd FM generation 3D halftoning133-MEGAPIXEL1 MICRON PIXELS1-bit matrix completion180 degree images1/f noise108 Megapixel100 Hue test
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2.5D reconstruction2D DCT2D VIEWS2D and 3D video2D-plus-depth video2D to Hologram conversion2-d scale2D metrics2.5D printing2D AND 3D CONVERTIBLE DISPLAY2.5 D printing2D/3D imaging, high performance computing, imaging systems, efficient computations and storage2.5D PRINTING2-D barcodes2D-TO-3D CONVERSION ARTIFACTS2D printing2.5D2D2AFC
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360-degree content3D Communications3D printing3D PRINTER3D shape3D modelling3D capture3D scanning3D Mapping3D Range Data Compression360 degree images3D affine transformation3D Point Cloud3D Printing3D recovery3D modeling3D/2D Visuals3D Vision3D Immersion3D digital halftoning3D RECONSTRUCTION3D rigid transformations3D HALFTONING360 IMAGING3D depth sensing360° video3D Curvelet3ARRI footage3D range scanning3D Imaging3D compression3D model3D TRANSFORMATION360-degree Image3D surface reproduction3D Range Data3D Modeling3D STACK3D Shape Indexing and Retrieval3D/4D DATA PROCESSING AND FILTERING3D Video Communications3D connected tube model3D scene flow estimation360-degree videos3D Tracking3D EDUCATIONAL MATERIAL3D Digital Image Correlation3D image compression3D adaptive halftoning3D-HEVC3D camera3D Data Sources3D Halftoning3D mapping and localization3D/4D Data Processing and Filtering360VR360-video360-degree video streaming3D depth-map3D surface3D Saliency3D optical scans3D data processing3D scene classification3D video processing3D objects3D warping3D mesh3D shape indexing and retrieval3D refinement3D-color perception3D display3D theater program listing3D Measurement3D Telepresence3D Data Processing3D-shooting3D position measurement of people3D DIGITIZATION METHOD FOR OIL PAINTINGS360-degree images3D Object Detection3D Morphable Model3D MODEL3D face alignment3D PRINTING3D video3D-LUT3D/4D Scanning3D perception360 panorama3D stereo vision360-degree image projection360 degrees video360-degree art exhibition3D CAMERAS3D SALIENCY3D Meshes3D halftoning3D print3D Video3-T pixel3D recursive search3D-human body detection3D SCENE RECONSTRUCTION AND MODELING3D and 2D3D SHAPE INDEXING AND RETRIEVAL3D Quality3D Video Conferencing360-deg quality assessment360-DEGREE IMAGE3D shape analysis3-D RECONSTRUCTION3D MODELLING3d localization3D Image Processing3D RANGE IMAGING3D Computer Graphics3D Compression3D object shape3D Models3D MESHES3D Display360-degree3D Gaussian splatting3DSR3D displays3DViewers3D communications360-degree video3D MESH3D Iterative Halftoning360° STEREO PANORAMAS3D-CNN3D Lidar3D Scene Reconstruction3DMM3D VISUALIZATION3D Compression and Encryption3D reconstruction3A ALGORITHMS360 Video3d mapping360x3D scene capture3-D SHAPE RECOVERY3D DISPLAY3D visual representation3D-high efficiency video coding3D USER INTERFACES3D cinema and TV360-Degree Video Technology3D PROFILE3D TV3D Color Printing360-degree imaging3D Reconstruction3d3D Range Data Encoding3D-printing3D IMAGE3D STIMULI3d video3D surface structure based halftoning3D glasses3D COMPRESSION AND ENCRYPTION3D encoding3D3D vision3D human-centered technologies3D point cloud3D-Anisotropic smoothing3DCNN3D Scene Reconstruction and Modeling3D mesh simplification35MM FILM DIGITIZATION3D projector3D localization3D/4D SCANNING3D-assisted features3D digitization and dissemination3D localization and mapping3D Print Appearance3D colour Digital Image Correlation3D range geometry3D printer3D RECOVERY3D audio3D imaging3D ACQUISITION ARCHITECTURE360° VIDEO3D INTERACTION
Muralikrishnan Gopalakrishnan Meena, Amir K. Ziabari, Singanallur V. Venkatakrishnan, Isaac R. Lyngaas, Matthew R. Norman, Balint Joo, Thomas L. Beck, Charles A. Bouman, Anuj J. Kapadia, Xiao Wang
We introduce a physics guided data-driven method for image-based multi-material decomposition for dual-energy computed tomography (CT) scans. The method is demonstrated for CT scans of virtual human phantoms containing more than two types of tissues. The method is a physics-driven supervised learning technique. We take advantage of the mass attenuation coefficient of dense materials compared to that of muscle tissues to perform a preliminary extraction of the dense material from the images using unsupervised methods. We then perform supervised deep learning on the images processed by the extracted dense material to obtain the final multi-material tissue map. The method is demonstrated on simulated breast models with calcifications as the dense material placed amongst the muscle tissues. The physics-guided machine learning method accurately decomposes the various tissues from input images, achieving a normalized root-mean-squared error of 2.75%.