Apr 1, 2016 · This study investigates key aspects for RGB-D based visual recognition, including the data fusion schemes and the classifiers.
To answer these questions, in this paper, we present a comparative study for evaluating early and late fusion schemes with several types of SVM and deep ...
... This paper focuses on the RGB and depth modalities which can be considered as complete multimodal data. In the literature, early fusion and late fusion are ...
To answer these questions, in this paper, we present a comparative study for evaluating early and late fusion schemes with several types of SVM and deep ...
A comparative study of data fusion for RGB-D based visual recognition. Jordi Sanchez-Riera Kai-Lung Hua 1 Yuan-Sheng Hsiao 2 Yuan-Sheng Hsiao 3 Tekoing Lim 4 ...
We provide a comparative study of four representative fusion schemes in RGB-D face recognition, covering signal-level, feature-level, score-level fusions, and a ...
Missing: visual | Show results with:visual
Abstract: In this work, multimodal fusion of RGB-D data are analyzed for action recognition by using scene flow as early fusion and integrating the results ...
In this work, multimodal fusion of RGB-D data are an- alyzed for action recognition by using scene flow as early fusion and integrating the results of all ...
A comparative study of four representative fusion schemes in RGB-D face recognition, covering signal-level, feature- level, score-level and hybrid fusion, ...
Missing: visual | Show results with:visual
Mar 21, 2024 · This paper compares multiple up- and downsampling methods, such as different direct interpolation methods, joint bilateral upsampling (JBU), and Markov random ...