We address the problem of obtaining dense surface information from a sparse set of 3D data in the presence of spurious noise samples. The input can be in the form of points, or points with an associated tangent or normal, allowing both position and direction to be corrupted by noise. Most approaches treat the problem as an interpolation problem, which is solved by fitting a surface such as a me...

Abstract Salient region detection is very useful in video analysis. A salient region detection method based on spatiotemporal visual attention model is proposed in this paper. Visual attention mechanism is used to generate saliency map of the image sequence. Spatial saliency map is computed in accordance with some predefined features including intensity, color and orientation. Temporal visual s...

Saliency detection attracted attention of many researchers and had become a very active area of research. Recently, many saliency detection models have been proposed and achieved excellent performance in various fields. However, most of these models only consider low-level features. This paper proposes a novel saliency detection model using both color and texture features and incorporating high...

Salient object detection has seen remarkable progress driven by deep learning techniques. However, most of deep learning based salient object detection methods are black-box in nature and lacking in interpretability. This paper proposes the first self-explanatory saliency detection network that explicitly exploits lowand high-level features for salient object detection. We demonstrate that such...

Perceptual image quality assessment (IQA) defines/utilizes a computational model to assess the image quality in consistent with human opinions. A good IQA model should consider both the effectiveness and efficiency, while most previous IQA models are hard to reach simultaneously. So we attempt to make another effort to develop an effective and efficiency image quality assessment metric. Conside...

The arousal-biased competition model predicts that arousal increases the gain on neural competition between stimuli representations. Thus, the model predicts that arousal simultaneously enhances processing of salient stimuli and impairs processing of relatively less-salient stimuli. We tested this model with a simple dot-probe task. On each trial, participants were simultaneously exposed to one...

Although there is strong evidence that human decision-making is frequently self-biased, it remains unclear whether self-biases mediate attention. Here we review evidence on the relations between self-bias effects in decision-making and attention. We ask: Does self-related information capture attention? Do self-biases modulate pre-attentive processes or do they depend on attentional resources be...

We develop a new model for no-reference 3D stereopair quality assessment that considers the impact of binocular fusion, rivalry, suppression, and a reverse saliency effect on the perception of distortion. The resulting framework, dubbed the S3D INtegrated Quality (SINQ) Predictor, first fuses the left and right views of a stereopair into a single synthesized cyclopean image using a novel modifi...

Visual search for an odd-one-out target is speeded when observers are provided with a cue word indicating the most probable target-defining dimension (e.g., form) on a given trial (Müller, Reimann, & Krummenacher, 2003). According to the 'dimension-weighting' account (e.g., Müller, Heller, & Ziegler, 1995), this semantic cueing effect originates from a pre-attentive processing stage: the coding...