Saliency-aware Real-time Volumetric Fusion for Object Reconstruction

We model the colour distribution of local image patches with a Gaussian density and measure the saliency of each patch as the statistical distance from that density..

In particular, we have explored different strategies to include temporal information into the PCA-based approach, and experimental results with a public dataset show that a

While particle filter has been successfully used for tracking non-rigid objects, it shows poor performances in the presence of large illumination variation, occlusions and when

We compare the proposed spatio-temporal saliency detec- tion method combining color features and LBP-TOP features (PROPOSED), with the method using LBP features only (LBP-TOP) and

Overall, fusion techniques which take the best of each saliency map (static and dynamic) in the final spatio-temporal map achieve best results.. Index Terms— Spatio-temporal

With the knowledge of scene content, background generation and foreground objects extraction are analyzed, and then multi- features including high level feature such as face and

In the following, we demonstrate how fusion filters designed to enhance the ac- curacy and the resolution of low-resolution depth maps from ToF cameras can be extended to enhance

We compare our spatio-temporal saliency detection method combining color features and LBP-TOP features (PROPOSED), with the method using LBP features only (LBP-TOP) and