Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Sara Ershadi‐nasab"'
Publikováno v:
Industry 4.0 Vision for Energy and Materials. :159-187
Autor:
Arghavan Irankhah, Sahar Rezazadeh Saatlou, Mohammad Hossein Yaghmaee, Sara Ershadi-Nasab, Mohammad Alishahi
Publikováno v:
2022 12th International Conference on Computer and Knowledge Engineering (ICCKE).
Publikováno v:
Multimedia Tools and Applications. 80:2461-2488
Multiple human 3D pose estimation is a useful but challenging task in computer vison applications. The ambiguities in estimation of 2D and 3D poses of multiple persons can be verified by using multi-view frames, in which the occluded or self-occluded
Publikováno v:
Electronics Letters. 54:292-293
Estimation of 3D human pose from a single image is a challenging task because of ambiguities in projection from 3D space to the 2D image plane. A new two-stage deep convolutional neural network-based method is proposed for regressing the distance and
Autor:
Shohreh Kasaei, Sadegh Ramezanpour, Esmaeil Sanaei, Sadjad Fouladi Ghaleh, Sara Ershadi Nasab
Publikováno v:
7'th International Symposium on Telecommunications (IST'2014).
Noise is inherent in digital systems. To smooth a point cloud while preserving sharp edges, a new 3D bilateral filter is proposed. It uses the point cloud normal vector in addition to color as a position vector for preserving sharp edges while smooth
Publikováno v:
2014 6th Conference on Information and Knowledge Technology (IKT).
Segmentation of a scene to the part made is a challenging work. In this paper a graphical model is used for this task. The methods based on geometrical derivatives such as curvature and normal often haven't good result in segmentation of geometricall