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3B kamera takibi için eylemsizlik algılayıcılarının birleştirilmesi
(IEEE, 2012)
It is well known in a Bayesian filtering framework, the use of inertial sensors such as accelerometers and gyroscopes improves 3D tracking performance compared to using camera measurements only. The performance improvement ...
On sensor fusion for head tracking in augmented reality applications
(IEEE, 2011)
The paper presents a simple setup consisting of a camera and an accelerometer located on a head mounted display, and investigates the performance of head tracking for augmented reality applications using this setup. The ...
Kamera ve ataletsel ölçüm birimi iç kalibrasyonu
(IEEE, 2013)
In this paper, we address the problem of internal calibration of a camera and an inertial measurement unit (IMU). The internal calibration of a camera and an IMU requires the determination of the relative orientation and ...
Effect of camera-IMU displacement calibration error on tracking performance
(IEEE, 2015)
Due to their complementary properties, inertial measurement units (IMU) and cameras are used in ego-motion tracking applications. For this, the relative rotation and displacement between the camera and IMU reference frames ...
Fusing inertial sensor data in an extended kalman filter for 3D camera tracking
(IEEE, 2015-02)
In a setup where camera measurements are used to estimate 3D egomotion in an extended Kalman filter (EKF) framework, it is well-known that inertial sensors (i.e., accelerometers and gyroscopes) are especially useful when ...
Bispectrum estimation using a MISO autoregressive model
(Springer International Publishing, 2016)
Bispectra are third-order statistics that have been used extensively in analyzing nonlinear and non-Gaussian data. Bispectrum of a process can be computed as the Fourier transform of its bicumulant sequence. It is in general ...
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