Depth map recovery from videos

Wang, Jiqin

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https://hdl.handle.net/2142/50664 Copy

Description

Title

Depth map recovery from videos

Author(s)

Wang, Jiqin

Issue Date

2014-09-16

Director of Research (if dissertation) or Advisor (if thesis)

Forsyth, David A.

Department of Study

Computer Science

Discipline

Computer Science

Degree Granting Institution

University of Illinois at Urbana-Champaign

Degree Name

M.S.

Degree Level

Thesis

Keyword(s)

• depth map recovery
• computer vision
• motion segmentation

Abstract

The depth map of a video is a very important piece of information. Recovering the depth map of a video expands a 2D video into its 3rd dimension, and creates new possibilities, such as, object insertion, conversion to 3D, shallow depth of field simulation. In this work, we introduce our approach of recovering depth maps from a video sequence with a moving camera and moving objects. Our approach isolates moving objects of each frame and estimates the depth of the scene and the moving objects separately. It takes advantage of the fact that the surfaces that belong to the same object share similar optical flow angles, and have smooth optical flow angle gradients, that can be exploited to recover object boundaries, thereby isolating moving objects from the static part of the scene. \\ It recovers the relative depth of the static part of the scene by calculating the likelihood of a pixel belonging to the farthest background using the magnitude of the optical flow and recovered 3D points. It then estimates the depth of moving objects by finding a statistically most likely actual size of the object and converting the actual size to its actual depth. Finally, we reinsert the estimated depth moving object into the estimated depth of the rest of the scene.

Graduation Semester

2014-08

Permalink

http://hdl.handle.net/2142/50664

Copyright and License Information

Copyright 2014 Jiqin Wang

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