Kinect V2 Edge base Registration with RANSAC-ICP

This article proposed a method to increase the precision of RGB-D registration applying RGB and depth obtained from Kinect V2. Procedure consists of 2 major components. The first part is to convert the image depth into the resolution and field of view (FOV) of color images and find both edges. Secon...

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Bibliographic Details
Published in:	2018 IEEE 4th International Conference on Computer and Communications (ICCC) pp. 1611 - 1616
Main Authors:	Keaomanee, Yossawee, Youngkong, Prakarnkiat, Panpanytep, Worawit, Maneewarn, Thavida, Vongbunyong, Supachai
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-12-2018
Subjects:	Cameras Edge-filter ICP Image edge detection Image registration KinectV2 Mathematical model ransac RGB-D registration Robots Sensors Three-dimensional displays
Online Access:	Get full text
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Summary:	This article proposed a method to increase the precision of RGB-D registration applying RGB and depth obtained from Kinect V2. Procedure consists of 2 major components. The first part is to convert the image depth into the resolution and field of view (FOV) of color images and find both edges. Second part is to use both edge images from the first step to adjust registration result together with RANSAC (Random sample consensus) and ICP (iterative closed point) to reduce error between both edges. The experimental results showed that the proposed method improved the accuracy of RGB-D registration
DOI:	10.1109/CompComm.2018.8780922