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Considering the difficulties in large-scale data processing and low imaging resolution of traditional near-field microwave imaging approach, a new near-field imaging approach based on compressed sensing is proposed in this paper. Under the premise of discretization of imaging scene, the near-field imaging model based on compressed sensing is built firstly. Then the random sparse observation is adopted...
3D Hair reconstruction based on real-life hair capture is an important and challenging work in hair modeling field. Most of existing hair capture methods use 2D images to reconstruct 3D hair, and these methods usually adopt 3D polygons to present hair wisp. In this paper, we introduce an approach to capture real-life hair using Kinect sensor and digital single-lens reflex (DSLR) camera and to reconstruct...
This paper presents an automatic 3D ear reconstruction method based on binocular stereo vision. At first, we calibrate the stereo vision system by Zhang's method. Then the quasi-dense matching method is performed. We use SIFT feature based matching approach and the coarse to fine strategy to compute the seed matches. The adapted match propagation algorithm with known epipolar geometry constraint is...
We present a novel 3D ear reconstruction method based on epipolar geometry. First, we calibrate the camera system. Second, we apply Harris corner detector to extract feature points from the first image. For every feature point, we apply epipolar geometry constrain to draw epipolar line in the second image and search corresponding point on it. Both the feature point and points on the epipolar line...
To overcome the azimuth sampling constraints imposed in synthetic aperture sonar (SAS), many SAS systems employ a single transmitter and multiple-receiver configuration, which can be regarded as a system containing many bistatic transmit-receive pairs. In traditional reconstruction, the multiple receiver system data is often preprocessed into an equivalent single receiver (monostatic) data by using...
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