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Density estimation based visual object counting (DE-VOC) methods estimate the counts of an image by integrating over its predicted density map. They perform effectively but inefficiently. This paper proposes a fast DE-VOC method but maintains its effectiveness. Essentially, the feature space of image patches from VOC can be clustered into subspaces, and the examples of each subspace can be collected...
For existing mainstream visual object counting (VOC) methods, training data insufficiency will lead to significant performance degradation. To address this challenge, we propose a novel sparsity-constrained example-based VOC method. Given a test image, its counts are estimated by integrating over its density map, and our method will predict such density map based on patch using training examples....
Identifying incomplete or partial fingerprints from a large fingerprint database remains a difficult challenge today. Existing studies on partial fingerprints focus on one-to-one matching using local ridge details. In this paper, we investigate the problem of retrieving candidate lists for matching partial fingerprints by exploiting global topological features. Specifically, we propose an analytical...
In this paper, we build the stereo vision system on a UAV named “Sky-walker” which was designed and created in Shanghai Jiaotong University. Used the image processing technique, we improved the feature points matching algorithm and made higher success rate. Then in the 3D reconstruction, we managed to reconstruction a large amount of 3D feature points, at last we tested the results deviation.
This paper proposes an efficient and robust algorithm to recover a panorama from poorly-obtained UAV video frames contaminated with significant noise. In this algorithm, the eigen-space based neighborhood region will be introduced with our novel feature-based random M least-squares (RMLS) registration technique. Meanwhile, the corresponding similarity regions will be assigned weights according to...
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