KINECT-BASED REAL-TIME RGB-D IMAGE FUSION METHOD
نویسندگان
چکیده
منابع مشابه
Kinect-based Real-time Rgb-d Image Fusion Method
3D reconstruction of indoor environments based on vision has been developed vigorously. However, the algorithm’s complexity and requirements of professional knowledge make it restricted in practical application. With the proposition of the concept of Volunteered Geographic Information (VGI), the traditional method is no longer suitable for VGI. So in this work we utilize consumer depth cameras ...
متن کاملKinect@Home: Crowdsourced RGB-D data
Algorithms for 3D localisation and mapping and 3D reconstruction are getting increasingly mature. In this paper we argue that it is time to also make the dataset on which they are tested more realistic to reflect the real world in the homes of real people rather then testing on data gathered in the lab or at best in a few places, and almost always by the people that designed the algorithm. We p...
متن کاملReal-time RGB-D-based Object and Manipulator Pose Estimation
We present an overview of our recent work on real-time model-based object pose estimation from intensity and depth cues. We have developed a system that can simultaneously track the pose of hundreds of rigid objects. By incorporating proprioceptive information, objects can be tracked together with their robotic manipulator, enabling accurate visual servo-control even in the presence of severe c...
متن کاملReal-time dense appearance-based SLAM for RGB-D sensors
In this work a direct dense approach is proposed for real-time RGB-D localisation and tracking. The direct RDB-D localisation approach is demonstrated on a low cost sensor which exploits projective IR light within indoor environments. This type of device has recently been the object of much interest and one advantage is that it provides dense 3D environment maps in real-time via embedded comput...
متن کاملAn RGB-D based image set classification for robust face recognition from Kinect data
The paper proposes a method for robust face recognition from low quality Kinect acquired images which have a wide range of variations in head pose, illumination, facial expressions, sunglass disguise and occlusions by hand. Multiple Kinect images of a person are considered as an image set and face recognition from these images is formulated as an RGB-D image set classification problem. The Kine...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
سال: 2012
ISSN: 2194-9034
DOI: 10.5194/isprsarchives-xxxix-b3-275-2012