Microsoft Kinect V2 vision system in a manufacturing application

International Journal of Scientific Research in Science and Technology, 2019

There is an increasing need for geometric 3D reconstruction models in the Reverse engineering which is ones of computer Vision applications, reconstruction from a sequence of 2D images is much cheaper than 3D scanners and coordinate measurement machine and also been able to take advantage of the developments in digital cameras and the increasing resolution and quality of images. This work aims to develop a concept of 3D free form surface reconstruction rig and generate the dimension of the surface depending on proposed image processing technique. Through the results obtained is observed that. The overall of calibration accuracy the Root mean square (RMS) value of the point was produced the residuals value in the image space was (0.2830 mm) in the IR images.

Proc. on Conference Robotics in Education 2011, 2011

This paper deals with education in the field of robot sensing abilities. It briefly introduces the commonly known and used concepts and sensors, but focuses mainly on the recent Kinect sensor. Technical information and background on the Kinect are provided. The last part of the article deals with possible applications of the sensor in various robotic fields with emphasis on the educational process.

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015

RGB-D cameras, also known as range imaging cameras, are a recent generation of sensors. As they are suitable for measuring distances to objects at high frame rate, such sensors are increasingly used for 3D acquisitions, and more generally for applications in robotics or computer vision. This kind of sensors became popular especially since the Kinect v1 (Microsoft) arrived on the market in November 2010. In July 2014, Windows has released a new sensor, the Kinect for Windows v2 sensor, based on another technology as its first device. However, due to its initial development for video games, the quality assessment of this new device for 3D modelling represents a major investigation axis. In this paper first experiences with Kinect v2 sensor are related, and the ability of close range 3D modelling is investigated. For this purpose, error sources on output data as well as a calibration approach are presented.

Kinect is a sensor technology capable of tracking any environmental phenomena by sensing it for identification. And it plays a unique and vital role in the study of identification as it recognizes every object using the sensor. However, Kinect sensors track and sense objects using their color and data with the enhancement of tracking various actions and postures. Improvisations are inhabited within the technology based on identity, digitalization, alpha channels, depth of color and sensors in Autism research. Major concepts of Kinect sensor and its enhancement features are surveyed in this paper.

Moving 3D modeling is widely used in many areas such as cinema, gaming, robot control and training. Kinect is a system that can detect human movements and send them to computers. It was developed by Microsoft to play games for the Xbox game console and is being used over time for applications in other areas. This work aims to create a 3D human model using kinect.

robolab.cse.unsw.edu.au

This paper presents the development of an object recognition and location system using the Microsoft Kinect TM , an off-the-shelf sensor for videogames console Microsoft Xbox 360 TM which is formed by a color camera and depth sensor. This sensor is capable of capturing color images and depth information from a scene. This vision system uses a) data fusion of both color camera and depth sensor to segment objects by distance; b) scale-invariant features to characterize and recognize objects; and c) camera's internal parameters combined with depth information to locate objects relative to the camera point of view. The system will be used along with a robotic arm to grab objects.

Remote Sensing, 2015

In the last decade, RGB-D cameras -also called range imaging cameras -have known a permanent evolution. Because of their limited cost and their ability to measure distances at a high frame rate, such sensors are especially appreciated for applications in robotics or computer vision. The Kinect v1 (Microsoft) release in November 2010 promoted the use of RGB-D cameras, so that a second version of the sensor arrived on the market in July 2014. Since it is possible to obtain point clouds of an observed scene with a high frequency, one could imagine applying this type of sensors to answer to the need for 3D acquisition. However, due to the technology involved, some questions have to be considered such as, for example, the suitability and accuracy of RGB-D cameras for close range 3D modeling. In that way, the quality of the acquired data represents a major axis. In this paper, the use of a recent Kinect v2 sensor to reconstruct small objects in three dimensions has been investigated. To achieve this goal, a survey of the sensor characteristics as well as a calibration approach are relevant. After an accuracy assessment of the produced models, the benefits and drawbacks of Kinect v2 compared to the first version of the sensor and then to photogrammetry are discussed.

2016

In the field of reverse engineering and creative industries, applying 3D scanning process to obtain geometric forms of the objects is a mature and common technique. For instance, organic objects such as faces and nonorganic objects such as products could be scanned to acquire the geometric information for further application. However, although the data resolution of 3D scanning device is increasing and there are more and more abundant complementary applications, the penetration rate of 3D scanning for the public is still limited by the relative high price of the devices. On the other hand, Kinect, released by Microsoft, is known for its powerful functions, considerably low price, and complete technology and database support. Therefore, related studies can be done with the applying of Kinect under acceptable cost and data precision. Due to the fact that Kinect utilizes optical mechanism to extracting depth information, limitations are found due to the reason of the straight path of t...

2013 IEEE Workshop on Robot Vision (WORV), 2013

This paper presents an approach for calibrating a network of Kinect devices used to guide robotic arms with rapidly acquired 3D models. The method takes advantage of the rapid 3D measurement technology embedded in the Kinect sensor and provides registration accuracy within the range of the depth measurements accuracy provided by this technology. The internal calibration of the sensor in between the color and depth measurement is also presented. The resulting system is developed to inspect large objects, such as vehicles, positioned within an enlarged field of view created by the network of RGB-D sensors.

b 3D Optical Metrology (3DOM) unit, Bruno Kessler Foundation (FBK), via Sommarive 18, Povo (Trento), Italy (fmenna, remondino)@fbk.eu, http://3dom.fbk.eu c DICATeA, University of Parma, Parco Area delle Scienze 181/A, Parma -riccardo.roncella@unipr.it Commission V, WG 3