NDLI: Depth estimation in monocular Breast Self-Examination image sequence using optical flow

Content Provider	IEEE Xplore Digital Library
Author	Jose, John Anthony C. Cabatuan, Melvin K. Dadios, Elmer P. Gan Lim, Laurence A.
Copyright Year	2014
Description	Author affiliation: Manufacturing Engineering and Management Department De La Salle University - Manila Manila, Philippines (Dadios, Elmer P.) \|\| Electronics Engineering Department De La Salle University - Manila Manila, Philippines (Jose, John Anthony C.; Cabatuan, Melvin K.) \|\| Mechanical Engineering Department De La Salle University - Manila Manila, Philippines (Gan Lim, Laurence A.)
Abstract	In this paper, we study the depth estimation for image sequence with small displacements as in Breast Self Examination (BSE). We utilized its Lucas-Kanade optical flow vectors, the concept of divergence and focus of expansion to estimate the apparent depth level for each frame. Moreover, orientation binning is also introduced to supplement its invariance to translation. The experiment used an actual BSE performance and the results show its effectiveness in predicting palpation depth level. This algorithm has shown to be in realtime implementation with a frame rate of 30 frames per second that is very useful for implementing the computer vision-based BSE guidance system.
Starting Page	1
Ending Page	6
File Size	2009988
Page Count	6
File Format	PDF
e-ISBN	9781479940202
DOI	10.1109/HNICEM.2014.7016220
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-11-12
Publisher Place	Philippines
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer vision Image motion analysis Divergence Fingers Monocular Depth Estimation Motion Estimation Breast Vectors Image sequences Breast Self-Examination
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Monocular depth level estimation for breast self-examination (BSE) using RGBD BSE dataset

Hand initialization and tracking using a modified KLT tracker for a computer vision-based breast self-examination system

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A novel approach to depth ordering in monocular image sequences

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Stereo and Optical Flow Calculation Using Recursive Filter

Depth estimation in monocular Breast Self-Examination image sequence using optical flow

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