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KAZE Features
In this paper, we introduce KAZE features, a novel multiscale 2D feature detection and description algorithm in nonlinear scale spaces. Previous approaches detect and describe features at different scale levels by building or approximating the Gaussian scale space of an image. However, Gaussian blurring does not respect the natural boundaries of objects and smoothes to the same degree both details and noise, reducing localization accuracy and distinctiveness. In contrast, we detect and describe 2D features in a nonlinear scale space by means
of nonlinear diffusion filtering. In this way, we can make blurring locally adaptive
to the image data, reducing noise but retaining object boundaries, obtaining superior localization accuracy and distinctiviness. The nonlinear scale space is built
using efficient Additive Operator Splitting (AOS) techniques and variable conductance diffusion. We present an extensive evaluation on benchmark datasets and a practical matching application on deformable surfaces. Even though our features are somewhat more expensive to compute than SURF due to the construction of the nonlinear scale space, but comparable to SIFT, our results reveal a step forward in performance both in detection and description against previous state-of-the-art methods.
2016-02-01
Fast and Accurate Calibration of a Kinect Sensor
The article describes a new algorithm for calibrating a Kinect sensor that achieves high accuracy using only 6 to 10 image-disparity pairs of a planar checkerboard pattern. The method estimates the projection parameters for both color and depth cameras, the relative pose between them, and the function that converts kinect disparity units (kdu) into metric depth. We build on the recent work of Herrera et. al [8] that uses a large number of input frames and multiple iterative minimization steps for obtaining very accurate calibration results. We propose several modifications to this estimation pipeline that dramatically improve stability, usability, and runtime. The modifications consist in: (i) initializing the relative pose using a new minimal, optimal solution for registering 3D planes across different reference frames, (ii) including a metric constraint during the iterative refinement to avoid a drift in the disparity to depth conversion, and (iii) estimating the parameters of the depth distortion model in an open-loop post-processing step. Comparative experiments show that our pipeline can achieve a calibration accuracy similar to [8] while using less than 1/6 of the input frames and running in 1/30 of the time.
2016-01-12
3D with kinect
We analyze Kinect as a 3D measuring device, experimentally investigate depth measurement resolution and error properties, and make a quantitative comparison of Kinect accuracy with stereo reconstruction from SLR cameras and a 3D-TOF camera. We propose a Kinect geometrical model and its calibration procedure providing an accurate calibration of Kinect 3D measurement and Kinect cameras. We compare our Kinect calibration procedure with its alternatives available on Internet, and integrate it into an SfM pipeline where 3D measurements from a moving Kinect are transformed into a common coordinate system, by computing relative poses from matches in its color camera.
2016-01-12
硬盘安装win10、win8、win7工具(nt6 hdd installer v3.1.4)
硬盘安装win10、win8、win7工具(nt6 hdd installer v3.1.4)绝对能用
2016-01-11
硬盘安装win8、win7工具 nt6 hdd installer v3.1.2
硬盘安装win8、win7工具 nt6 hdd installer v3.1.2,特别好用,直接硬盘安装win8、win7,无需u盘或者光盘
2013-07-30
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