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- research-articleJanuary 2016
Salient Region Detection via High-Dimensional Color Transform and Local Spatial Support
IEEE Transactions on Image Processing (TIP), Volume 25, Issue 1Pages 9–23https://doi.org/10.1109/TIP.2015.2495122In this paper, we introduce a novel approach to automatically detect salient regions in an image. Our approach consists of global and local features, which complement each other to compute a saliency map. The first key idea of our work is to create a ...
- research-articleJune 2015
Robust High Dynamic Range Imaging by Rank Minimization
IEEE Transactions on Pattern Analysis and Machine Intelligence (ITPM), Volume 37, Issue 6Pages 1219–1232https://doi.org/10.1109/TPAMI.2014.2361338This paper introduces a new high dynamic range (HDR) imaging algorithm which utilizes rank minimization. Assuming a camera responses linearly to scene radiance, the input low dynamic range (LDR) images captured with different exposure time exhibit a ...
- ArticleNovember 2011
High quality depth map upsampling for 3D-TOF cameras
ICCV '11: Proceedings of the 2011 International Conference on Computer VisionPages 1623–1630https://doi.org/10.1109/ICCV.2011.6126423This paper describes an application framework to perform high quality upsampling on depth maps captured from a low-resolution and noisy 3D time-of-flight (3D-ToF) camera that has been coupled with a high-resolution RGB camera. Our framework is inspired ...
- ArticleJune 2011
High-resolution hyperspectral imaging via matrix factorization
CVPR '11: Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern RecognitionPages 2329–2336https://doi.org/10.1109/CVPR.2011.5995457Hyperspectral imaging is a promising tool for applications in geosensing, cultural heritage and beyond. However, compared to current RGB cameras, existing hyperspectral cameras are severely limited in spatial resolution. In this paper, we introduce a ...