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This paper proposes an end-to-end learning framework for multiview stereopsis. We term the network SurfaceNet. It takes a set of images and their corresponding camera parameters as input and directly infers the 3D model. The key advantage of the framework is that both photo-consistency as well geometric relations of the surface structure can be directly learned for the purpose of multiview stereopsis...
Acceleration signals captured during the interaction of a rigid tool with an object surface carry relevant information for surface material classification. Existing methods mostly rely on carefully designed perception-related features or features adapted from audio processing motivated by the observed similarity between acceleration signals and audio signals. In contrast, our proposed method automatically...
In this paper, we propose a novel Personality&Generality Support Vector Regression (PG-SVR) model to train the personality and generality regression attractiveness models from training facial images and their corresponding attractive scores simultaneously, which is completely different from existing method which returns only one general regression model. The trained PG-SVR serves for facial attractiveness...
Gap analysis (GA) is one of the most popular techniques which has been widely used to help businesses make service quality improvement decisions to improve customer satisfaction. However, an assumption of linear relationship between attribute performance and customer satisfaction underlies the application of GA and was challenged while comparing with the Kano's two-dimensional model which indicated...
In most digital cameras, color filter array (CFA) is used for sampling only one color value for each pixel on CCD. So the other two color values need to be interpolated. The interpolation process is commonly known as demosaicking. In this paper, we discuss the relationship among the down sampled CFA images in frequency domain. According to the correlation, we propose an interpolation method that select...
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