[PDF] Visual Comfort Aware-Reinforcement Learning for Depth Adjustment





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3D Image Reconstruction from Stereo Images and Single Images

wilbury@cs.stanford.edu. Abstract. We attempt to reconstruct 3D scenes from stereo images by selecting 3D models from a dataset and placing them.



3D Object Proposals using Stereo Imagery for Accurate Object Class

This paper aims at high- performance 2D and 3D object detection in the context of autonomous driving by exploiting stereo imagery. With impressive advances in 



Visual Comfort Aware-Reinforcement Learning for Depth Adjustment

stereoscopic 3D (S3D) images which accompanied with im- proving visual comfort and depth perception. For a human expert



Extracting 3D Scene-consistent Object Proposals and Depth from

Michael Bleyer Christoph Rhemann and Carsten Rother. (a) Left stereo image. (d) An object map of one of our scene proposals. (b) Novel 3D view.



Perceptual Depth Quality in Distorted Stereoscopic Images

on 3D quality-of-experience of stereoscopic images. Index Terms—Depth perception depth quality



StereoScan: Dense 3d Reconstruction in Real-time

1. Real-time 3d reconstruction based on stereo sequences: Our system takes stereo images (top) as input and outputs an accurate 3d model.



Using disparity for quality assessment of stereoscopic images

23 sep. 2008 on the disparity map for stereoscopic image pairs. This 3D metric performances has been evaluated with subjective.



Autostereoscopic 3D Display System for 3D Medical Images

24 apr. 2022 This paper proposes a novel glasses-free 3D autostereoscopic display system based on an eye tracking algorithm and explores its viability as a ...



Stereoscopic 3D

Stereo vision or 'Stereopsis'



Implementing Stereoscopic 3D in Your Applications

20 sep. 2010 ?In 3D? is the new ?Stereo?. — They are used interchangeably stereoscopic rendering is the technical means to make an image ?In 3D?.

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