In this paper, a novel depth estimation algorithm tackling foreground occlusion is proposed based on the neighborhood distribution in the sheared epipolar ...
In this paper, a novel depth estimation algorithm tackling foreground occlusion is proposed based on the neighborhood distribution in the sheared epipolar ...
Jul 9, 2020 · We propose an end-to-end fully convolutional network (FCN) to estimate the depth value of the intersection point on the horizontal and vertical EPIs.
Missing: Distribution | Show results with:Distribution
Li and Jin [13] proposed a depth foreground estimation algorithm based on the neighborhood distribution in sheared epipolar plane images (EPIs) to solve the ...
In this paper, we propose an optimized algorithm using local EPI analysis to get disparity information of edges and fine textures, and afterward, with an aid ...
The newly proposed oriented relation module is capable of modeling the relationships between the neighboring pixels in EPIs. A refocusing-based. EPI ...
This article introduces a survey of the key concepts, methods, novel applications, and future trends in this area.
Paper ID, IVMSP-L7.6 ; Paper Title, EPI-NEIGHBORHOOD DISTRIBUTION BASED LIGHT FIELD DEPTH ESTIMATION ; Authors, Junke Li, Xin Jin, Tsinghua University, China.
This paper proposed an EPI LF depth estimation algorithm based on a directional relationship model and attention mechanism.
Missing: Neighborhood | Show results with:Neighborhood
Oct 1, 2019 · A novel deep-learning-based depth estimation method for light field images is introduced. The proposed method employs a novel neural network ...