Viewpoint: Misshapen training

Counting Pedestrians in Crowds Using Viewpoint Invariant Training

This paper describes a learning-based method for counting people in crowds from a single camera. Our method takes into account feature normalization to deal with perspective projection and different camera orientation. Thus, our system is trained to be viewpoint invariant and can be deployed with minimal setup for a new site. This is achieved by applying background subtraction and edge detectio...

A community neurologist's personal viewpoint on neurological training.

A study of 200 patients referred to a community neurologist showed that 87.5% of the patients were seen in the office and only 12.5% in hospital. Neurological signs were present in 52% and 28.5% had neurological signs which materially affected the diagnosis. A questionnaire sent to several teaching centers showed that only one center sent students and residents to community neurologists' office...

Viewpoint Selection using Viewpoint Entropy

Computation of good viewpoints is important in several fields: computational geometry, visual servoing, robot motion, graph drawing, etc. In addition, selection of good views is rapidly becoming a key issue in computer graphics due to the new techniques of Image Based Rendering. Although there is no consensus about what a good view means in Computer Graphics, the quality of a viewpoint is intui...

Exploring Learners’ Viewpoint regarding Training Program of Health Care Providers Based on CIPP Model

Background: Aiming to explore learners’ viewpoint regarding training program of health care providers based on CIPP model, this research was conducted on health care providers in the city of Sabzevar in 2017. Methods: This cross-sectional study was carried out on 139 health care providers working in the health centers of ...

Personal Viewpoint