Experts has a new look! Let us know what you think of the updates.

Provide feedback
Home
Scholarly Works
Aggregation of Rich Depth-Aware Features in a...
Journal article

Aggregation of Rich Depth-Aware Features in a Modified Stacked Generalization Model for Single Image Depth Estimation

Abstract

Estimating scene depth from a single monocular image is a crucial component in computer vision tasks, enabling many further applications such as robot vision, 3-D modeling, and above all, 2-D to 3-D image/video conversion. Since there are an infinite number of possible world scenes, that can produce a unique image, single image depth estimation is a highly challenging task. This paper tackles such an ambiguous problem by using the merits of …

Authors

Mohaghegh H; Karimi N; Soroushmehr SMR; Samavi S; Najarian K

Journal

IEEE Transactions on Circuits and Systems for Video Technology, Vol. 29, No. 3, pp. 683–697

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

March 1, 2019

DOI

10.1109/tcsvt.2018.2808682

ISSN

1051-8215