نتایج جستجو برای: saliency detection

تعداد نتایج: 568996  

2016
Dingwen Zhang Deyu Meng Long Zhao Junwei Han

Weakly-supervised object detection (WOD) is a challenging problems in computer vision. The key problem is to simultaneously infer the exact object locations in the training images and train the object detectors, given only the training images with weak image-level labels. Intuitively, by simulating the selective attention mechanism of human visual system, saliency detection technique can select...

Journal: :CoRR 2017
Xuanyang Xi Yongkang Luo Fengfu Li Peng Wang Hong Qiao

Visual saliency detection aims at identifying the most visually distinctive parts in an image, and serves as a pre-processing step for a variety of computer vision and image processing tasks. To this end, the saliency detection procedure must be as fast and compact as possible and optimally processes input images in a real time manner. It is an essential application requirement for the saliency...

Journal: :CoRR 2017
Chunbiao Zhu Kan Huang Ge Li

Saliency detection aims to detect the most attractive objects in images, which has been widely used as a foundation for various multimedia applications. In this paper, we propose a novel salient object detection algorithm for RGB-D images using center-dark channel prior. First, we generate an initial saliency map based on a color saliency map and a depth saliency map of a given RGB-D image. The...

Journal: :CoRR 2017
Chenglong Li Guizhao Wang Yunpeng Ma Aihua Zheng Bin Luo Jin Tang

Despite significant progress, image saliency detection still remains a challenging task in complex scenes and environments. Integrating multiple different but complementary cues, like RGB and Thermal (RGB-T), may be an effective way for boosting saliency detection performance. The current research in this direction, however, is limited by the lack of a comprehensive benchmark. This work contrib...

Journal: :IET Image Processing 2015
Zhihua Chen Yi Liu Xiao-Long Xiao Fangli Ying Jing Zhang Yubo Yuan

Saliency detection plays an important role in image segmentation, object detection and retrieval, which attracts more attention in the field of computer vision recently. Most existing saliency detection algorithms have not considered the influence of visual focus shifting yet. In this paper, a novel algorithm named moving region contrast (MRC) is proposed to analyze image saliency. The algorith...

Journal: :Neurocomputing 2014
Yuelong Chuang Ling Chen Gencai Chen

To detect and recognise hand postures against complex backgrounds, we propose a novel model that is constructed by the integration of image saliency and skin information. Although a skin model is a simple and efficient strategy by which to locate skin regions within images, it is easily affected by complex backgrounds, e.g. skin-like background regions and various lighting conditions. To solve ...

Journal: :Computers & Graphics 2016
Xianyong Liu Ligang Liu Weijie Song Yanping Liu Lizhuang Ma

Mesh saliency was introduced and joined the community of computer graphics ten years ago, which can benefit various applications, for instance, mesh reduction, mesh segmentation, self-similarity matching, scan integration, volume rendering, 3D printing, etc. Before, saliency detection had been successfully applied to image processing and pattern recognition to study how the world is perceptuall...

Journal: :CoRR 2014
Qiong Yan Jianping Shi Li Xu Jiaya Jia

Complex structures commonly exist in natural images. When an image contains small-scale high-contrast patterns either in the background or foreground, saliency detection could be adversely affected, resulting erroneous and non-uniform saliency assignment. The issue forms a fundamental challenge for prior methods. We tackle it from a scale point of view and propose a multi-layer approach to anal...

Journal: :Neurocomputing 2013
Weibin Yang Yuan Yan Tang Bin Fang Zhaowei Shang Yuewei Lin

This paper proposes a novel method for visual saliency detection based on an universal probabilistic model, which measures the saliency by combining low level features and location prior. We view the task of estimating visual saliency as searching the most conspicuous parts in an image and extract the saliency map by computing the dissimilarity between different regions. We simulate the moving ...

Journal: :CoRR 2018
Pingping Zhang Dong Wang Huchuan Lu Hongyu Wang

In this paper we propose an effective non-rigid object tracking method based on spatial-temporal consistent saliency detection. In contrast to most existing trackers that use a bounding box to specify the tracked target, the proposed method can extract the accurate regions of the target as tracking output, which achieves better description of the non-rigid objects while reduces background pollu...

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