INTRODUCTION (HEADING 1)
Nowadays 3D technologies are becoming more and more
popular, which by itself increases the amount of 3D application
in the biomedical application. There are a lot of range camera
is developed in computer vision projects that applicable in
biomedical applications such as Time-of-flight (TOF) and
Microsoft Kinect Sensor.
The TOF camera emits modulated light to the scene and the
reflection of the light is measured with the reference signal,
which is correlated with the modulated light, in order to obtain
the depth information [1][1]. The Kinect Sensor uses another
kind of technique which consists of an infrared structured light
projector and a monochrome CMOS camera to compute depth
of the scene.
Now after the release of Microsoft Kinect Sensor and other
depth cameras has provided 3D technologies in biomedical
application. Kinect Sensor by Microsoft is one of the rangecameras that developed for biomedical applications. The depth
sensor is able to return images like an ordinary camera, but
instead of color, each pixel value represents the distance to the
point. Kinect Sensor is a researcher-like camera due to its
specification. This paper is written to prove that this Kinect
Sensor is able to provide the accuracy, precision and reliability
of depth distance values same with actual distance. The
accuracy of Kinect Sensor is important to analysis for the
degree of closeness of measurements of depth distance to the
actual distance. In Kinect Sensor’s precision, the depth array
has a precision of up to only 11 bits or 211 = 2048 difference
values. Thus, the Kinect Sensor’s depth measurement will
provided a non-linear function of distance [2]. However, there
is no previous researchers review on reliability of its depth
distance. But they are focus on its reliability of the Kinect
within functional assessment activities in biomedical
application [3], [4]. Moreover, the default range and near range
of the distance from Kinect Sensor is evaluated is this paper.