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EVALUATION OF DEEP LEARNING BASED STEREO MATCHING METHODS: FROM GROUND TO AERIAL IMAGES
Dense image matching Deep learning Convolutional neural network Aerial stereos Transfer learning
2018/3/30
Dense stereo matching has been extensively studied in photogrammetry and computer vision. In this paper we evaluate the application of deep learning based stereo methods, which were raised from 2016 a...
Evaluation of Different Methods for Using Colour Information in Global Stereo Matching Approaches
Stereoscopic Matching Stereoscopic Reconstruction Colour Analysis Experimental Analysis
2015/12/4
Global algorithms currently represent the state-of-the-art in dense stereo matching. These methods first set up an energy function.The energy function is then subject to optimization, which is t...
Symmetric segment-based stereo matching of motion blurred images with illumination variations
Symmetric segment-based stereo matching motion blurred images illumination variations
2008/12/17
Most existing methods of stereo matching focus on dealing with clear image pairs. Consequently, there is a lack of approaches capable of handling degraded images captured under challenging real situat...