- Building
RGB
additive color with supervised machine learning.
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Original Input image from three POV, which will be masked by depth data. Then OpenCV filtering.
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origin author PoKong Lai
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Visualizating the 3D output to ensure the Camera Poses was properly predicted.
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This Visualizes the environment with three relative camera locations.
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The major challenges is how to synchronizes these camera. So we uses SLAM and VR point-cloud scattering to predict the poses.
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Recording a person from three point of views. And perform loop closure to predict the camera poses of these POV.
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network architecture
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link for result in prediction of backward image from front image.
- left most column is input, middle is ground truth and last is prediction.
- feed front image hence left most to AutoEncoder to generate backward image.