Personal Fixations-Based Object Segmentation With Object Localization and Boundary Preservation

Object Boundary Guided Semantic Segmentation

Semantic segmentation has been a major topic in computer vision, and has played an important role in understanding object classes as well as object localizations. Recent development in deep learning, especially in fully-convolutional neural network, has enabled pixel-level labeling for more accurate results. However most of the previous works, including FCN, did not take object boundary into co...

Object Boundary Detection and Foreground/Background Segmentation

Object boundary detection and foreground/background segmentation are central problems in computer vision. The importance of combining low-, mid-, and high-level cues has been realized in recent literature. However, it is unclear how to efficiently and effectively engage and fuse different levels of information. In this paper, we emphasize a learning based approach to explore different levels of...

Segmentation Assisted Object Distinction for Direct Volume Rendering

Ray Casting is a direct volume rendering technique for visualizing 3D arrays of sampled data. It has vital applications in medical and biological imaging. Nevertheless, it is inherently open to cluttered classification results. It suffers from overlapping transfer function values and lacks a sufficiently powerful voxel parsing mechanism for object distinction. In this work, we are proposing an ...

Object Boundary Segmentation Using Graph Cuts Based Active Contours

In this paper we propose an iterative graph cuts based active contours approach to segment an object boundary out of background. Given an initial boundary nearby the object, the graph cuts based active contour can iteratively deform to the object boundary even if there are large discontinuities and noise. In each iteration, the area of interest is a certain neighborhood of the previously estima...

Wavelet-based Moving Object Segmentation