ON THE SYNERGIES BETWEEN MACHINE LEARNING AND BINOCULAR STEREO FO DEPTH ESTIMATION FROM IMAGES A SURVEY

 Stereo matching is one of the longest-standing problems in computer vision with close to 40 years of studies and research. Throughout the years the paradigm has shifted from local, pixel-level decision to various forms of discrete and continuous optimization to data-driven, learning-based methods.Recently, the rise of machine learning and the rapid...

MACHINE LEARNING DEPTH ESTIMATION

On the Synergies between Machine Learning and Binocular Stereo for Depth Estimation from Images a Survey

 Stereo matching is one of the longest-standing problems in computer vision with close to 40 years of studies and research. Throughout the years the paradigm has shifted from local, pixel-level decision to various forms of discrete and continuous optimization to data-driven, learning-based methods. Recently, the rise of machine learning and the rapi...