Perception of Human Motion with Different Geometric Models

TL;DR

This study investigates how different geometric models of human figures influence viewers' perception of motion, revealing that polygonal models enhance sensitivity to motion changes compared to simpler stick figures.

Contribution

The paper provides experimental evidence on the impact of geometric modeling choices on motion perception, highlighting the superiority of polygonal models over stick figures.

Findings

Subjects better observed motion changes with polygonal models.

Perception varies significantly with the type of geometric model used.

Experimental results quantify the perceptual differences among models.

Abstract

Human figures have been animated using a variety of geometric models including stick figures, polygonal models, and NURBS-based models with muscles, flexible skin, or clothing. This paper reports on experimental results indicating that a viewer's perception of motion characteristics is affected by the geometric model used for rendering. Subjects were shown a series of paired motion sequences and asked if the two motions in each pair were the same or different. The motion sequences in each pair were rendered using the same geometric model. For the three types of motion variation tested, sensitivity scores indicate that subjects were better able to observe changes with the polygonal model than they were with the stick figure model.