A Hand Gesture Recognition Library for a 3D Viewer Supported by Kinect’s Depth Sensor

نویسندگان

  • Khoa Thi-Minh Tran
  • Seung-Hyun Oh
چکیده

In modern life, human–computer interaction has received the most interest from researchers, especially in developing new interaction methods. Microsoft’s Kinect sensor, which has integrated red-green-blue and depth (RGB+D) cameras, opens up new possibilities As well, many three-dimensional (3D) applications have been developed fashioning the computer world more natural and real for the user. In this paper, we propose and develop a 3D viewer application for heritage, which we call an HT3DViewer, using information received from the RGB+D camera of the Microsoft Kinect sensor. This viewer provides a hand gesture recognition library for users to control the object in the viewer by hands. Hand gestures are detected and defined using tracked information from the Kinect depth camera. The prototype of our hand gesture recognition library and 3D viewer application was built using the Microsoft Kinect software developer’s kit with C# programming language on the Microsoft .NET platform. Moreover, we investigate and select a simple and fast process to generate 3D models of heritage items from 2D images captured by cameras.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Hand Gesture Recognition from RGB-D Data using 2D and 3D Convolutional Neural Networks: a comparative study

Despite considerable enhances in recognizing hand gestures from still images, there are still many challenges in the classification of hand gestures in videos. The latter comes with more challenges, including higher computational complexity and arduous task of representing temporal features. Hand movement dynamics, represented by temporal features, have to be extracted by analyzing the total fr...

متن کامل

3D Gesture-Based View Manipulator for Large Scale Entity Model Review

Hand gesture-based Human Computer Interaction (HCI) is one of the most natural and intuitive methods of communication between humans and machines because it closely mimics how humans interact with each other. Its intuitiveness and naturalness are needed to explore extensive and complex data or virtual realities. We developed a 3D gesture interface to manipulate the display of a 3D entity model....

متن کامل

Histogram of 3D Facets: A depth descriptor for human action and hand gesture recognition

The recent successful commercialization of depth sensors has made it possible to effectively capture depth images in real time, and thus creates a new modality for many computer vision tasks including hand gesture recognition and activity analysis. Most existing depth descriptors simply encode depth information as intensities while ignoring the richer 3D shape information. In this paper, we pro...

متن کامل

3D Hand Gesture Recognition Based on Sensor Fusion of Commodity Hardware

With the advent of various video game consoles and tablet devices gesture recognition got quite popular to control computer systems. E.g. touch screens allow for an intuitive control of small 2d user interfaces with finger gestures. For interactive manipulation of 3d objects in a large 3d projection environment a similar intuitive 3d interaction method is required. In this paper, we present a d...

متن کامل

3D Hand Motion Evaluation Using HMM

Gesture and motion recognition are needed for a variety of applications. The use of human hand motions as a natural interface tool has motivated researchers to conduct research in the modeling, analysis and recognition of various hand movements. In particular, human-computer intelligent interaction has been a focus of research in vision-based gesture recognition. In this work, we introduce a 3-...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014