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Astronomy has a major data problem. Simulating realistic images of the sky can help train algorithms
Professional astronomers don't make discoveries by looking through an eyepiece like you might with a backyard telescope. Instead, they collect digital images in massive cameras attached to large ...
This repository contains the code ... 3D NIfTI images. You can specify the axis along which the slices are taken (axial, coronal, or sagittal). To train a ConvNeXt2D model on all 2D slices (axial, ...
Abstract: In this paper, we develop a new color image lossless ... and residue coding parameters are protected using (7, 4) Hamming codes in the bit stream before transmission. The performances are ...
🏛️ Reconstructing 3D landmarks from 2D images using feature detection, triangulation, and mesh generation. Built as a Computer Vision course project with interactive 3D model visualization via ...
Abstract: In this paper we propose a scalable face image compression algorithm based on Principal Component Analysis (PCA) and Entropy Coding. By using PCA and some training face image patterns, we ...
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