Automatic feature detection for 3D surface reconstruction from HDTV endoscopic videos

Anja Groch; Matthias Baumhauer; Hans-Peter Meinzer; Lena Maier-Hein

doi:10.1117/12.845645

27 February 2010 Automatic feature detection for 3D surface reconstruction from HDTV endoscopic videos

Anja Groch, Matthias Baumhauer, Hans-Peter Meinzer, Lena Maier-Hein

Proceedings Volume 7625, Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling; 76251P (2010) https://doi.org/10.1117/12.845645
Event: SPIE Medical Imaging, 2010, San Diego, California, United States

Abstract

A growing number of applications in the field of computer-assisted laparoscopic interventions depend on accurate and fast 3D surface acquisition. The most commonly applied methods for 3D reconstruction of organ surfaces from 2D endoscopic images involve establishment of correspondences in image pairs to allow for computation of 3D point coordinates via triangulation. The popular feature-based approach for correspondence search applies a feature descriptor to compute high-dimensional feature vectors describing the characteristics of selected image points. Correspondences are established between image points with similar feature vectors. In a previous study, the performance of a large set of state-of-the art descriptors for the use in minimally invasive surgery was assessed. However, standard Phase Alternating Line (PAL) endoscopic images were utilized for this purpose. In this paper, we apply some of the best performing feature descriptors to in-vivo PAL endoscopic images as well as to High Definition Television (HDTV) endoscopic images of the same scene and show that the quality of the correspondences can be increased significantly when using high resolution images.

Citation Download Citation

Anja Groch, Matthias Baumhauer, Hans-Peter Meinzer, and Lena Maier-Hein "Automatic feature detection for 3D surface reconstruction from HDTV endoscopic videos", Proc. SPIE 7625, Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling, 76251P (27 February 2010); https://doi.org/10.1117/12.845645

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available