DSRNet: Depth Super-Resolution Network guided by blurry depth and clear intensity edges
Although high resolution (HR) depth images are required in many applications such as virtual reality and autonomous navigation, their resolution and quality generated by consumer depth cameras fall short of the requirements. Existing depth ...
Highlights
- We propose a depth SR network guided by blurry depth and clear intensity edges, called DSRNet.
- DSRNet differentiates effective edges from a number of HR edges with the guidance of blurry depth and clear intensity edges.
- DSRNet ...
Quantitative analysis of facial soft tissue using weighted cascade regression model applicable for facial plastic surgery
- An automatic method was proposed for facial beauty and facial plastic surgery analysis.
- An automatic method based on modified fuzzy c-means (MFCM) was proposed for facial skin segmentation under varying illumination.
- A varying ...
Localization of facial landmarks plays an important role in the measurement of facial metrics applicable for beauty analysis and facial plastic surgery. The first step in detecting facial landmarks is to estimate the face bounding box. Clinical ...
Blind quality-based pairwise ranking of contrast changed color images using deep networks
Next-generation multimedia networks are expected to provide systems and applications with top Quality of Experience (QoE) to users. To this end, robust quality evaluation metrics are critical. Unfortunately, most current research focuses only on ...
Highlights
- A new architecture based on a suite of deep-learning models is introduced. The proposed architecture exploits relevant visual information, such as spatial color attributes and visual attention mechanisms, to accurately rank contrast-...