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A histogram-based matching algorithm for stereo images captured under different illumination conditions is proposed in this work. The cumulative histogram of an image represents the ranks of relative pixel brightness, which are robust to illumination changes. Therefore, we design the matching cost based on the similarity of the cumulative histograms of stereo images. As an optional mode, the proposed...
Automatic focus and exposure are the key components in digital cameras nowadays, which jointly play an essential role for capturing a high quality image. In this paper, we make an attempt to address these two challenging issues for future depth cameras. Relying on a programmable projector, we establish a structured light system for depth sensing with focus and exposure adaptation. The basic idea is...
Texture recognition is an important aspect of many computer vision applications. Local binary pattern (LBP) based texture algorithms have gained significant popularity in recent years and have been shown to be useful for a variety of tasks. While over the years a variety of LBP algorithms have been introduced in the literature, what is missing is a comprehensive evaluation of their performance. In...
Space-time feature extraction is a recent and popular method used for action recognition. This paper presents a new algorithm to improve the robustness of spatio-temporal feature extraction techniques against the illumination and scale variations. Most of the interest point detectors are sensitive to illumination variations that may cause serious problems in action recognition by finding wrong keypoints...
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