Author(s):
1. Zubair Ahmed:
National University of Sciences and Technology Islamabad,Pakistan
2. Ahsan Shahzad:
National University of Sciences and Technology Islamabad,Pakistan
3. Usman Ali:
National University of Sciences and Technology Islamabad,Pakistan
Abstract:
Estimation of depth map plays a key role in a number of computer vision applications. Shape from focus is a monocular approach that uses image focus as a cue to reconstruct 3D shapes. In the literature, a variety of guided image filters have been proposed to enhance the depth map individually. Among them, some have excess computational time burden, and some others produce unsatisfactory results. This paper proposed a framework for the enhancement of depth map by using a weighted combination of selected guided filters in shape from focus. The optimized weights are obtained using the particle swarm optimization approach, and the subset of best-performing filters is identified through a sequential forward search method. The experimental results have demonstrated that the proposed framework provides considerably improved depth maps.
Page(s):
1-1
DOI:
DOI not available
Published:
Journal: IEEE International Conference on Digital Futures and Transformative Technologies (ICoDT2) May 24-26, 2022 (Book of Abstracts), Volume: 1, Issue: 1, Year: 2022
Keywords:
Depth Map
,
computer vision applications
,
3D shapes
References:
References are not available for this document.
Citations
Citations are not available for this document.