133-MEGAPIXEL1 MICRON PIXELS1st and 2nd FM generation 3D halftoning1/f noise108 Megapixel100 Hue test180 degree images1-bit matrix completion
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2D-plus-depth video2D and 3D video2-d scale2D metrics2D to Hologram conversion2D VIEWS2D DCT2.5D reconstruction2D printing2D-TO-3D CONVERSION ARTIFACTS2-D barcodes2AFC2.5D2D2D AND 3D CONVERTIBLE DISPLAY2.5D printing2.5D PRINTING2D/3D imaging, high performance computing, imaging systems, efficient computations and storage2x2 On-chip Lens2.5 D printing
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3D Gaussian Splatting3D Saliency3D surface3D data processing3D optical scans3D video processing3D scene classification3D warping3D objects3D mapping and localization360VR3D/4D Data Processing and Filtering3D depth-map360-degree video streaming360-video3D Morphable Model3D Object Detection360-degree images3D face alignment3D PRINTING3D MODEL3D/4D Scanning3D-LUT3D video3D CAMERAS360 degrees video360-degree art exhibition360-degree image projection3D stereo vision360 panorama3D perception3D shape indexing and retrieval3D mesh3D display3D-color perception3D refinement3D Measurement3D theater program listing3D DIGITIZATION METHOD FOR OIL PAINTINGS3DLUT3D position measurement of people3D-shooting3D Data Processing3D Telepresence3D image3D skeletal joint point cloud; deep learning; PointNet++ method3D/2D Visuals3D modeling3D rigid transformations3D RECONSTRUCTION3D digital halftoning3D Immersion3D Vision360 IMAGING3D HALFTONING3D range scanning3ARRI footage3D Curvelet360° video3D depth sensing3D printing3D Communications360-degree content3D shape3D PRINTER360 degree images3D Range Data Compression3D scanning3D Mapping3D capture3D modelling3D recovery3D Printing3D Point Cloud3D affine transformation360-degree videos3D connected tube model3D scene flow estimation3D Video Communications3D/4D DATA PROCESSING AND FILTERING3D Shape Indexing and Retrieval3D EDUCATIONAL MATERIAL3D Tracking3D image compression3D Digital Image Correlation3D Halftoning3D Data Sources3D camera3D-HEVC3D adaptive halftoning3D TRANSFORMATION3D model3D compression3D Imaging360-degree Image3D Range Data3D surface reproduction3D STACK3D Modeling3D Reconstruction360-degree imaging3D CG Image3D Color Printing3D-printing3D Range Data Encoding3d3d video3A Algorithms3D STIMULI3D IMAGE3D vision3DGS3D encoding3D3D COMPRESSION AND ENCRYPTION3D glasses3D surface structure based halftoning3-D SHAPE RECOVERY360x3D scene capture3d mapping360 Video3A ALGORITHMS3D-high efficiency video coding3D visual representation3D DISPLAY3D USER INTERFACES3D TV3D PROFILE360-Degree Video Technology3D cinema and TV3D colour Digital Image Correlation3D Print Appearance3D digitization and dissemination3D localization and mapping3D range geometry360° VIDEO3D INTERACTION3D ACQUISITION ARCHITECTURE3D imaging3D audio3D Photogrammetry3D RECOVERY3D printer3D Scene Reconstruction and Modeling3DCNN3D-Anisotropic smoothing3D point cloud3D human-centered technologies3D projector35MM FILM DIGITIZATION3D mesh simplification3D/4D SCANNING3D localization3D-assisted features3D shape analysis360-DEGREE IMAGE360-deg quality assessment3D Quality3D Video Conferencing3D RANGE IMAGING3D Image Processing3d localization3D MODELLING3-D RECONSTRUCTION3D Models3D object shape3D Computer Graphics3D Compression3D Meshes3D SALIENCY3D recursive search3D-human body detection3-T pixel3D Video3D print3D halftoning3D and 2D3D SCENE RECONSTRUCTION AND MODELING3D SHAPE INDEXING AND RETRIEVAL360° STEREO PANORAMAS3D Iterative Halftoning3D MESH3D Scene Reconstruction3D Lidar3D-CNN3D VISUALIZATION3D Compression and Encryption3DMM3D reconstruction360-degree3D Display3D MESHES3D Gaussian splatting3DSR360-degree video3D communications3DViewers3D displays
Training deep models that can be deployed on embedded systems to robustly detect and track highly specialized industrial objects in a variety of field environments remains very challenging. Large Deep Foundation models (e.g., [yuan21]) make it easier than ever to detect and track everyday objects but do not work as well for specialized industrial objects. These models are often very large and not suitable for deployment on embedded systems. In this work we show that the use of a chroma-key like substitution combined with artificial occlusion generation allows one to capture a small number of images of objects under a fixed background in the lab and then generalize them to novel backgrounds that work in the real world under realistic conditions improving detection of occluded objects by 4% and improving detection in different environments by 44% over state-of-the-art augmentation methods such as MOSAIC.