The optimal exploitation of the information provided by hyperspectral images requires the
development of advanced image-processing tools. This paper proposes the construction …

In this paper, we propose a novel approach to simplify sketch drawings. The core problem is
how to group sketchy strokes meaningfully, and this depends on how humans understand …

A depth-ordering reasoning approach first provides novel occlusion edge detection,
generating precise same-layer relationship judgment and producing reliable region …

The current increase of spatial as well as spectral resolutions of modern remote sensing
sensors represents a real opportunity for many practical applications but also generates …

While hand-drawn cel animation is a world-wide popular form of art and entertainment,
introducing stereoscopic effect into it remains difficult and costly, due to the lack of physical …

This paper presents an approach to estimating the 2.1 D sketch from monocular, low-level
visual cues. We use a low-level segmenter to partition the image into regions, and, then …

In this work, an image representation based on Binary Partition Tree is proposed for object
detection in hyperspectral images. This hierarchical region-based representation can be …

This work presents a novel computational model for relative depth order estimation from a
single image based on low-level local features that encode perceptual depth cues such as …

Hyperspectral imaging segmentation has been an active research area over the past few
years. Despite the growing interest, some factors such as high spectrum variability are still …

The optimal exploitation of the information provided by hyperspectral images requires the
development of advanced image processing tools. This paper introduces a new hierarchical …