This paper proposes a system that relates objects in an image using occlusion cues and
arranges them according to depth. The system does not rely on a priori knowledge of the …

The random walk, proposed in 1905, was applied into the field of computer vision in 1979.
Subsequently, more and more researchers paid their attention to this new method. Recently …

We propose a nonlocal random walks (NRW) algorithm to generate accurate depth from 2D
images based on user interaction. First, a graphical model is proposed where edges are …

We present a method for efficiently generating dense, relative depth estimates from video
without requiring any knowledge of the imaging system, either a priori or by estimating it …

This study introduces an image-based 2D-to-3D conversion system that provides significant
stereoscopic visual effects for humans. The linear and atmospheric perspective cues that …

Depth map estimation from a single image is the key problem for the 2D to 3D image
conversion. Many 2D to 3D converting processes, either automatic or semi-automatic, are …

In this paper, we proposed a super pixel based depth map propagation algorithm for the
application in 2D to 3D video conversion. The proposed algorithm employs four main …

Viewing 3D content, whether it be in the home, at the cinema, or in scientific and industrial
environments, has become more popular over the last few years. Specifically, the sense of …

In this paper, we propose an adaptive method for 2D to 3D conversion of images using a
user-aided process based on Graph Cuts and Random Walks. Given user-defined labeling …

In this paper, we propose a superpixel based depth map generation scheme for the
application to monoscopic to stereoscopic video conversion. The proposed algorithm …