A State of the Art Report on Kinect Sensor Setups in Computer Vision
نویسندگان
چکیده
During the last three years after the launch of the Microsoft Kinect R © in the end-consumer market we have become witnesses of a small revolution in computer vision research towards the use of a standardized consumer-grade RGBD sensor for scene content retrieval. Beside classical localization and motion capturing tasks the Kinect has successfully been employed for the reconstruction of opaque and transparent objects. This report gives a comprehensive overview over the main publications using the Microsoft Kinect out of its original context as a decision-forest based motion-capturing tool.
منابع مشابه
A State Of the Art Report on Research in Multiple RGB-D sensor Setups
That the Microsoft Kinect, an RGB-D sensor, transformed the gaming and end consumer sector has been anticipated by the developers. That it also impacted in rigorous computer vision research has probably been a surprise to the whole community. Shortly before the commercial deployment of its successor, Kinect One, the research literature fills with resumees and state-of-the art papers to summariz...
متن کاملKinect Depth Sensor Evaluation for Computer Vision Applications
This technical report describes our evaluation of the Kinect depth sensor by Microsoft for Computer Vision 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. As such, the sensor can be seen as a rangeor 3D-camera. We have used the sensor in several different computer vision projects and th...
متن کاملThe role of RGB-D benchmark datasets: an overview
The advent of the Microsoft Kinect three years ago stimulated not only the computer vision community for new algorithms and setups to address well-known problems in the community but also sparked the launch of several new benchmark datasets to which future algorithms can be compared to. This review of the literature and industry developments concludes that the current RGB-D benchmark datasets c...
متن کاملStatic Pose Estimation from Depth Images using Random Regression Forests and Hough Voting
Robust and fast algorithms for estimating the pose of a human given an image would have a far reaching impact on many fields in and outside of computer vision. We address the problem using depth data that can be captured inexpensively using consumer depth cameras such as the Kinect sensor. To achieve robustness and speed on a small training dataset, we formulate the pose estimation task within ...
متن کاملAn Efficient LBP-Based Descriptor for Facial Depth Images Applied to Gender Recognition Using RGB-D Face Data
RGB-D is a powerful source of data providing the aligned depth information which has great potentials in improving the performance of various problems in image understanding, while Local Binary Patterns (LBP) have shown excellent results in representing faces. In this paper, we propose a novel efficient LBP-based descriptor, namely Gradient-LBP (G-LBP), specialized to encode the facial depth in...
متن کامل