Multi-view human pose recognition has been extensively studied in computer vision due to its significant practical implications. Nonetheless, it remains a challenging task effectively integrate distinctive view-based features and perform thorough qualitative analysis quantitative evaluations. In this paper, based on an innovative multi-view fusion module novel Mutable Scaling Shortcut Connectio...

In this paper, we consider the problem of reconstructing a dense 3D model using images captured from different views. Recent methods based on convolutional neural networks (CNN) allow learning the entire task from data. However, they do not incorporate the physics of image formation such as perspective geometry and occlusion. Instead, classical approaches based on Markov Random Fields (MRF) wit...

This paper presents a refinement method that supplements the 3D model construction process. The refinement method addresses the issue of using inaccurate 3D positional information to construct the 3D model. In the context of this paper, the inaccuracies in the 3D information come from a low-cost and low-precision range finder system. The core component of the refinement system is a neural netwo...

In this paper, we analyze the effect of stress-fiber inclusion on the stiffness of an actin random network. To do this, use a discrete random network model to analyze the elastic response of this system in terms of apparent Young’s modulus. First, we showed that for a flat-ended cylindrical AFM indenter the total indentation force has a linear relation with the indentation depth and the indente...