Capturing Implicit Spatial Cues for Monocular 3d Hand Reconstruction

Although recent evidence suggests that visual short-term memory (VSTM) is a continuous resource, little is known about how flexibly this resource can be allocated. Previous studies using probabilistic cues to indicate two different levels of probe probability have found that response precision can be predicted according to a continuous allocation of resources that depends on attentional priority. The current study used a continuous report procedure and attentional prioritization via simultaneous probabilistic spatial cues to address whether participants can use up to three levels of attentional priority to allocate VSTM resources. Three experiments were performed with differing priority levels, different cues, and cue presentation time. Although group level analysis demonstrated flexible allocation, there was limited evidence that participants were using three priority levels. An individual differences approach revealed that a minority of participants were using three levels of attentional priority, demonstrating that, while possible, it is not the predominant pattern of behavior.

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Underwater Image Enhancement Based on Multi-Scale Fusion and Global Stretching of Dual-Model

Mathematics ◽

10.3390/math9060595 ◽

2021 ◽

Vol 9 (6) ◽

pp. 595

Author(s):

Huajun Song ◽

Rui Wang

Keyword(s):

Image Enhancement ◽

Poor Performance ◽

Weight Coefficient ◽

Color Contrast ◽

Dual Model ◽

Spatial Cues ◽

Multi Scale ◽

Imaging Model ◽

Underwater Image ◽

Enhancement Method

Aimed at the two problems of color deviation and poor visibility of the underwater image, this paper proposes an underwater image enhancement method based on the multi-scale fusion and global stretching of dual-model (MFGS), which does not rely on the underwater optical imaging model. The proposed method consists of three stages: Compared with other color correction algorithms, white-balancing can effectively eliminate the undesirable color deviation caused by medium attenuation, so it is selected to correct the color deviation in the first stage. Then, aimed at the problem of the poor performance of the saliency weight map in the traditional fusion processing, this paper proposed an updated strategy of saliency weight coefficient combining contrast and spatial cues to achieve high-quality fusion. Finally, by analyzing the characteristics of the results of the above steps, it is found that the brightness and clarity need to be further improved. The global stretching of the full channel in the red, green, blue (RGB) model is applied to enhance the color contrast, and the selective stretching of the L channel in the Commission International Eclairage-Lab (CIE-Lab) model is implemented to achieve a better de-hazing effect. Quantitative and qualitative assessments on the underwater image enhancement benchmark dataset (UIEBD) show that the enhanced images of the proposed approach achieve significant and sufficient improvements in color and visibility.

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