Depth map building based on pixel number variation and SURF

Chen Chien Hsu; Po Ting Huang; Zhong Han Cai; Ming Chih Lu; Yin Yu Lu

doi:10.1109/SMC.2014.6974594

Depth map building based on pixel number variation and SURF

Chen Chien Hsu, Po Ting Huang, Zhong Han Cai, Ming Chih Lu, Yin Yu Lu

Department of Electrical Engineering

Research output: Contribution to journal › Conference article › peer-review

2 Citations (Scopus)

Abstract

This paper presents a method for depth measurement based on Speeded Up Robust Features (SURF) and pixel number variation of CCD Images. A single camera is used to capture two images in different photographing distances, where features in the images are extracted and matched by SURF. To remove false matching points, an Identifying point correspondences by Correspondence Function (ICF) method is adopted to automatically select suitable reference points required for the pixel number variation method. Based on the displacement of the camera at two photographing distances, difference in pixel count between feature points of the objects in the images can be used to determine the photographing distance of the target objects for constructing the depth map by linear interpolation.

Original language	English
Article number	6974594
Pages (from-to)	4162-4166
Number of pages	5
Journal	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Volume	2014-January
Issue number	January
DOIs	https://doi.org/10.1109/SMC.2014.6974594
Publication status	Published - 2014
Event	2014 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2014 - San Diego, United States Duration: 2014 Oct 5 → 2014 Oct 8

Keywords

Depth
Digital camera
Distance measurement
Image-based measuring systems
Pixel
SURF
Speeded Up robust features

ASJC Scopus subject areas

Electrical and Electronic Engineering
Control and Systems Engineering
Human-Computer Interaction

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10.1109/SMC.2014.6974594

Cite this

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title = "Depth map building based on pixel number variation and SURF",

abstract = "This paper presents a method for depth measurement based on Speeded Up Robust Features (SURF) and pixel number variation of CCD Images. A single camera is used to capture two images in different photographing distances, where features in the images are extracted and matched by SURF. To remove false matching points, an Identifying point correspondences by Correspondence Function (ICF) method is adopted to automatically select suitable reference points required for the pixel number variation method. Based on the displacement of the camera at two photographing distances, difference in pixel count between feature points of the objects in the images can be used to determine the photographing distance of the target objects for constructing the depth map by linear interpolation.",

keywords = "Depth, Digital camera, Distance measurement, Image-based measuring systems, Pixel, SURF, Speeded Up robust features",

author = "Hsu, {Chen Chien} and Huang, {Po Ting} and Cai, {Zhong Han} and Lu, {Ming Chih} and Lu, {Yin Yu}",

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AU - Huang, Po Ting

AU - Cai, Zhong Han

AU - Lu, Ming Chih

AU - Lu, Yin Yu

PY - 2014

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AB - This paper presents a method for depth measurement based on Speeded Up Robust Features (SURF) and pixel number variation of CCD Images. A single camera is used to capture two images in different photographing distances, where features in the images are extracted and matched by SURF. To remove false matching points, an Identifying point correspondences by Correspondence Function (ICF) method is adopted to automatically select suitable reference points required for the pixel number variation method. Based on the displacement of the camera at two photographing distances, difference in pixel count between feature points of the objects in the images can be used to determine the photographing distance of the target objects for constructing the depth map by linear interpolation.

KW - Depth

KW - Digital camera

KW - Distance measurement

KW - Image-based measuring systems

KW - Pixel

KW - SURF

KW - Speeded Up robust features

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Depth map building based on pixel number variation and SURF

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Keywords

ASJC Scopus subject areas

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