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Article
Digging into the multi-scale structure for a more refined depth map and 3D reconstruction
Extracting dense depth from a single image is an important yet challenging computer vision task. Compared with stereo depth estimation, sensing the depth of a scene from monocular images is much more difficult...
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Article
Line-preserving video stitching for asymmetric cameras
The narrow FOV on mobile phones is becoming unsatisfying with the development of video live broadcast. Fast and stable video stitching algorithm is urgently needed with the advent of multi-device bracket and o...
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Chapter and Conference Paper
Dense Frame-to-Model SLAM with an RGB-D Camera
In this paper, a dense frame-to-model Simultaneous Localization And Map** (SLAM) with an RGB-D camera is proposed, which achieves a more accurate trajectory in contrast to traditional frame-to-model methods....
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Chapter and Conference Paper
Depth Estimation from Monocular Images Using Dilated Convolution and Uncertainty Learning
Depth cues are vital in many challenging computer vision tasks. In this paper, we address the problem of dense depth prediction from a single RGB image. Compared with stereo depth estimation, sensing the depth...
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Chapter and Conference Paper
CRF-Based Reconstruction from Narrow-Baseline Image Sequences
Given an image sequence of a scene it is possible to recover a depth map. Though multiview stereo algorithms are well-studied, rarely are those algorithms considered in the context of narrow baseline. In this...
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Chapter and Conference Paper
3D Reconstruction with Multi-view Texture Map**
In this paper, a novel 3D reconstruction with multi-view texture map** method based on Kinect 2 is proposed. Camera poses of all chosen key frames are optimized according to photometric consistency. Optimize...
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Chapter and Conference Paper
Undersampled Dynamic MRI Reconstruction by Double Sparse Spatiotemporal Dictionary
Dynamic magnetic resonance imaging (dMRI) is widely used in human motion organ and functional imaging. But it requires reducing the imaging time to obtain high spatial and temporal resolution. This paper propo...