Results 21 to 30 of about 12,627 (258)
Stereoscopic Image Saliency Detection Optimization: A Multi-Cue-Driven Approach
IEEE Access, 2019 Numerous stereoscopic image saliency detection algorithms have been presented to detect the salient objects in a stereoscopic image. However, they typically fail to uniformly highlight all the objects when the image contains multiple objects or complex ...
Yuzhen Niu +3 more
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Saliency Detection on Light Field [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014 Existing saliency detection approaches use images as inputs and are sensitive to foreground/background similarities, complex background textures, and occlusions. We explore the problem of using light fields as input for saliency detection. Our technique is enabled by the availability of commercial plenoptic cameras that capture the light field of a ...
Nianyi Li +4 more
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RGB-D Image Saliency Detection via Background and Foreground Fusion
Jisuanji kexue yu tansuo, 2020 RGB-D image saliency detection refers to the addition of depth information in traditional 2D images to extract significant objects. However, for current saliency detection models, most of them focus on the saliency objects themselves, but ignore the ...
ZHAO Qiang, WANG Aiping, LIU Zhengyi
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Saliency Detection via Fusing Color Contrast and Hash Fingerprint
Journal of Electrical and Computer Engineering, 2022 Saliency detection is a technique for automatically extracting regions of interest from the background and has been widely used in the computer vision field.
Yin Lv, Xuanrui Zhang, Yong Wang
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Performance Comparison of Saliency Detection [PDF]
Advances in Multimedia, 2018 Saliency detection has attracted significant attention in the field of computer vision technology over years. At present, more than 100 saliency detection models have been proposed. In this paper, a relatively more detailed classification is proposed.
Ning Li +4 more
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Detecting Distinguished Regions by Saliency [PDF]
, 2003 A method for detecting and characterizing local image regions based on saliency is introduced. The proposed method detects scale localized salient regions in an image by a saliency operator which uses the concept of visual attention. A new descriptor based on a cornerness measure is presented which allows a stable identification of regions of interest ...
Friedrich Fraundorfer, Horst Bischof
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Saliency detection in complex scenes [PDF]
EURASIP Journal on Image and Video Processing, 2014 Detecting multiple salient objects in complex scenes is a challenging task. In this paper, we present a novel method to detect salient objects in images. The proposed method is based on the general ‘center-surround’ visual attention mechanism and the spatial frequency response of the human visual system (HVS). The saliency computation is performed in a
Linfeng Xu 0001 +3 more
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Deep Saliency Quality Assessment Network With Joint Metric
IEEE Access, 2018 Saliency detection aims to find the most conspicuous regions in an image, which highly catches the users' attention. High-quality saliency map plays an important role in boosting many other computer vision tasks, such as object detection and segmentation.
Liangzhi Tang +3 more
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Inshore Ship Detection Based on Multi-Modality Saliency for Synthetic Aperture Radar Images
Remote Sensing, 2023 Synthetic aperture radar (SAR) ship detection is of significant importance in military and commercial applications. However, a high similarity in intensity and spatial distribution of scattering characteristics between the ship target and harbor ...
Zhe Chen +4 more
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Saliency detection using suitable variant of local and global consistency
IET Computer Vision, 2017 In existing local and global consistency (LGC) framework, the cost functions related to classifying functions adopt the sum of each row of weight matrix as an important factor.
Jiazhong Chen +6 more
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