- Read more about Low Light Image Enhancement Based on Two-Step Noise Suppression
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In low light condition, the signal-to-noise ratio (SNR) is low and thus the captured images are seriously degraded by noise.Since low light images contain much noise in flat and dark regions, contrast enhancement without considering noise characteristics causes serious noise amplification. In this paper, we propose low light image enhancement based on two-step noise suppression. First, we perform noise aware contrast enhancement using noise level function (NLF).
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- Read more about Stereo image de-fencing using smartphones
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- Read more about First-Person Action Recognition Through Visual Rhythm Texture Description
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First-person action recognition is a recent problem in computer vision, where an observer wears body cameras to understand and recognize actions from the captured video sequences. Technological advances have made it possible to offer small wearable cameras that can be attached onto bike helmets, belts, animal halters, among other accessories. Examples of potential applications include sports, security, healthcare, visual lifelogging, among others.
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In this paper, we exploit deep convolutional features for object appearance modeling and propose a simple while effective deep iscriminative model (DDM) for visual tracking. The proposed DDM takes as input the deep features and outputs an object-background confidence map. Considering that both spatial information from lower convolutional layers and semantic information from higher layers benefit object tracking, we construct multiple deep discriminative models (DDMs) for each layer and combine these confidence maps from each layer to obtain the final object-background confidence map.
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- Read more about QUALITY ESTIMATION BASED MULTI-FOCUS IMAGE FUSION
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- Read more about Segment-Tree Based Cost Aggregation for Stereo Matching with Enhanced Segmentation Advantage
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Segment-tree (ST) based cost aggregation algorithm for stereo matching successfully integrates the information of segmentation with non-local cost aggregation framework. The tree structure which is generated by the segmentation strategy directly determines the final results for this kind of algorithms. However, the original strategy performs unrea-sonable due to its coarse performance and ignores to meet the disparity consistency assumption.
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- Read more about Exemplar‐Embed Complex Matrix Factorization for Facial Expression Recognition
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