133-MEGAPIXEL1 MICRON PIXELS1st and 2nd FM generation 3D halftoning1/f noise108 Megapixel100 Hue test1-bit matrix completion180 degree images
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2D-plus-depth video2D and 3D video2-d scale2D metrics2D to Hologram conversion2D DCT2D VIEWS2.5D reconstruction2D printing2-D barcodes2D-TO-3D CONVERSION ARTIFACTS2AFC2.5D2D2D AND 3D CONVERTIBLE DISPLAY2.5D printing2D/3D imaging, high performance computing, imaging systems, efficient computations and storage2.5D PRINTING2x2 On-chip Lens2.5 D printing
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3D surface3D Saliency3D Gaussian Splatting3D optical scans3D data processing3D scene classification3D video processing3D objects3D warping3D mapping and localization360VR3D/4D Data Processing and Filtering360-video3D depth-map360-degree video streaming360-degree images3D Object Detection3D Morphable Model3D MODEL3D PRINTING3D face alignment3D-LUT3D video3D/4D Scanning3D perception360 panorama3D stereo vision360-degree image projection360 degrees video360-degree art exhibition3D CAMERAS3D mesh3D shape indexing and retrieval3D refinement3D display3D-color perception3D theater program listing3D Measurement3D Telepresence3D Data Processing3D-shooting3D position measurement of people3D DIGITIZATION METHOD FOR OIL PAINTINGS3DLUT3D modeling3D/2D Visuals3D Immersion3D Vision3D digital halftoning3D RECONSTRUCTION3D rigid transformations3D HALFTONING360 IMAGING3D depth sensing360° video3ARRI footage3D Curvelet3D range scanning360-degree content3D Communications3D printing3D PRINTER3D shape3D modelling3D capture3D scanning3D Mapping3D Range Data Compression360 degree images3D affine transformation3D Point Cloud3D Printing3D recovery3D/4D DATA PROCESSING AND FILTERING3D Shape Indexing and Retrieval3D Video Communications3D scene flow estimation3D connected tube model360-degree videos3D Tracking3D EDUCATIONAL MATERIAL3D Digital Image Correlation3D image compression3D adaptive halftoning3D-HEVC3D camera3D Data Sources3D Halftoning3D Imaging3D compression3D model3D TRANSFORMATION360-degree Image3D surface reproduction3D Range Data3D Modeling3D STACK3D Color Printing3D CG Image360-degree imaging3D Reconstruction3d3D Range Data Encoding3D-printing3D IMAGE3D STIMULI3d video3D surface structure based halftoning3D COMPRESSION AND ENCRYPTION3D glasses3D3D encoding3D vision3A ALGORITHMS360 Video3d mapping3-D SHAPE RECOVERY360x3D scene capture3D DISPLAY3D visual representation3D-high efficiency video coding3D USER INTERFACES3D cinema and TV360-Degree Video Technology3D PROFILE3D TV3D digitization and dissemination3D localization and mapping3D Print Appearance3D colour Digital Image Correlation3D range geometry3D printer3D RECOVERY3D imaging3D audio3D ACQUISITION ARCHITECTURE3D INTERACTION360° VIDEO3D human-centered technologies3D point cloud3D-Anisotropic smoothing3DCNN3D Scene Reconstruction and Modeling35MM FILM DIGITIZATION3D mesh simplification3D projector3D localization3D/4D SCANNING3D-assisted features3D Video Conferencing3D Quality360-deg quality assessment360-DEGREE IMAGE3D shape analysis3-D RECONSTRUCTION3D MODELLING3d localization3D Image Processing3D RANGE IMAGING3D Compression3D Computer Graphics3D object shape3D Models3D Meshes3D SALIENCY3D halftoning3D print3D Video3-T pixel3D-human body detection3D recursive search3D SCENE RECONSTRUCTION AND MODELING3D and 2D3D SHAPE INDEXING AND RETRIEVAL3D MESH3D Iterative Halftoning360° STEREO PANORAMAS3D-CNN3D Scene Reconstruction3D Lidar3DMM3D Compression and Encryption3D VISUALIZATION3D reconstruction3D Display3D MESHES360-degree3D Gaussian splatting3DSR3D displays3DViewers3D communications360-degree video
Reflectance Transformation Imaging (RTI) is a technique that provides an enhanced visualization experience. The current acquisition methods for Reflectance Transformation Imaging (RTI) are time consuming and computationally expensive. This work investigates the idea of getting best light positions for RTI acquisition using surface topography. We propose automating the RTI acquisition by estimating the surface topography using deep learning method followed by estimating light positions using unsupervised clustering method. This is one shot method which only needs one image. We also created RTI Synthetic dataset in order to carry out experiments. We found that surface topography alone is not sufficient to estimate best light positions for RTI without putting constraints.