TriDepth: Triangular Patch-based Deep Depth Prediction

3 May 2019Masaya KanekoKen SakuradaKiyoharu Aizawa

We propose a novel and efficient representation for single-view depth estimation using Convolutional Neural Networks (CNNs). Point-cloud is generally used for CNN-based 3D scene reconstruction; however it has some drawbacks: (1) it is redundant as a representation for planar surfaces, and (2) no spatial relationships between points are available (e.g, texture and surface)... (read more)

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