3D scene reconstruction using a single monocular image

Date of Publication

2012

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Computer Science

Subject Categories

Computer Sciences

College

College of Computer Studies

Department/Unit

Computer Science

Thesis Adviser

Miguel Angelo Cabral

Defense Panel Member

Nelson Marcos
Florante Salvador

Abstract/Summary

This is research on 3D scene reconstruction from a single monocular 2D image. It extends the study done by Saxena, Sun, and Ng (2008) called Make3D. Make3D constructs a 3D model from a single 2D image using monocular cues extracted from it. In this study, additional features not used by Make3D have been identified and used to produce a better 3D reconstruction. These features are the sky blob, saturation, and object blob. These features are extracted from the image and used in the improvement of the 3D model. Qualitative survey was used to evaluate the outputs of this study on unstructured images. Results of the survey reveal that this study has produced better results in some cases when compared against Make3D.

Abstract Format

html

Language

English

Format

Print

Accession Number

TU18434

Shelf Location

Archives, The Learning Commons, 12F, Henry Sy Sr. Hall

Physical Description

viii, 69 leaves : illustrations (some colored) ; 28 cm.

Keywords

Pattern Recognition; Three-dimensional imaging

Embargo Period

1-4-2022

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