1st and 2nd FM generation 3D halftoning133-MEGAPIXEL1 MICRON PIXELS1-bit matrix completion180 degree images100 Hue test108 Megapixel1/f noise
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2.5D reconstruction2D DCT2D VIEWS2D and 3D video2D-plus-depth video2D to Hologram conversion2D metrics2-d scale2.5D 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 printing2D2.5D2AFC
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3D affine transformation3D Point Cloud3D Printing3D recovery3D modelling3D capture3D Mapping3D scanning3D Range Data Compression360 degree images3D PRINTER3D shape360-degree content3D Communications3D printing3D depth sensing360° video3D Curvelet3ARRI footage3D range scanning3D HALFTONING360 IMAGING3D Vision3D Immersion3D digital halftoning3D RECONSTRUCTION3D rigid transformations3D modeling3D/2D Visuals3D Modeling3D STACK3D surface reproduction3D Range Data360-degree Image3D Imaging3D compression3D model3D TRANSFORMATION3D adaptive halftoning3D-HEVC3D camera3D Data Sources3D Halftoning3D Digital Image Correlation3D image compression3D Tracking3D EDUCATIONAL MATERIAL3D Shape Indexing and Retrieval3D/4D DATA PROCESSING AND FILTERING3D Video Communications3D scene flow estimation3D connected tube model360-degree videos360-video360-degree video streaming3D depth-map3D/4D Data Processing and Filtering360VR3D mapping and localization3D objects3D warping3D scene classification3D video processing3D optical scans3D data processing3D surface3D Saliency3D Telepresence3D Data Processing3D-shooting3D position measurement of people3D DIGITIZATION METHOD FOR OIL PAINTINGS3D theater program listing3D Measurement3D refinement3D-color perception3D display3D mesh3D shape indexing and retrieval3D perception360 panorama3D stereo vision360-degree image projection360 degrees video360-degree art exhibition3D CAMERAS3D video3D-LUT3D/4D Scanning3D MODEL3D PRINTING3D face alignment360-degree images3D Object Detection3D Morphable Model3D SHAPE INDEXING AND RETRIEVAL3D SCENE RECONSTRUCTION AND MODELING3D and 2D3D halftoning3D print3D Video3-T pixel3D-human body detection3D recursive search3D SALIENCY3D Meshes3D Compression3D Computer Graphics3D object shape3D Models3-D RECONSTRUCTION3D MODELLING3d localization3D Image Processing3D RANGE IMAGING3D Video Conferencing3D Quality360-deg quality assessment360-DEGREE IMAGE3D shape analysis3D displays3DViewers3D communications360-degree video3DSR3D Gaussian splatting3D MESHES3D Display360-degree3D reconstruction3DMM3D Compression and Encryption3D VISUALIZATION3D-CNN3D Lidar3D Scene Reconstruction3D MESH3D Iterative Halftoning360° STEREO PANORAMAS3D cinema and TV360-Degree Video Technology3D PROFILE3D TV3D USER INTERFACES3D DISPLAY3D visual representation3D-high efficiency video coding3A ALGORITHMS360 Video3d mapping360x3D scene capture3-D SHAPE RECOVERY3D surface structure based halftoning3D glasses3D COMPRESSION AND ENCRYPTION3D3D encoding3D vision3D IMAGE3D STIMULI3d video3d3D Range Data Encoding3D-printing3D Color Printing360-degree imaging3D Reconstruction3D-assisted features3D localization3D/4D SCANNING3D mesh simplification35MM FILM DIGITIZATION3D projector3D human-centered technologies3D point cloud3D-Anisotropic smoothing3DCNN3D Scene Reconstruction and Modeling3D printer3D RECOVERY3D audio3D imaging3D ACQUISITION ARCHITECTURE3D INTERACTION360° VIDEO3D range geometry3D localization and mapping3D digitization and dissemination3D Print Appearance3D colour Digital Image Correlation
Facial landmark localization plays a critical role in many face analysis tasks. In this paper, we present a coarse-to-fine cascaded convolutional neural network system for robust facial landmark localization of faces in the wild. The system consists of two cascaded convolutional neural
network levels. The first level network generates an initial prediction of all facial landmarks. The second level networks are cascaded to implement facial component-wise local refinement of the landmark points. We also present a novel data augmentation method for facial landmark localization
networks training. The experiment result shows our method outperforms state-of-the-art methods on 300W [18] common dataset.