Drawing accuracy measured using polygons

The study of drawing, for its own sake and as a probe into human visual perception, generally depends on ratings by human critics and self-reported expertise of the drawers. To complement those approaches, we have developed a geometric approach to analyzing drawing accuracy, one whose measures are objective, continuous and performance-based. Drawing geometry is represented by polygons formed by landmark points found in the drawing. Drawing accuracy is assessed by comparing the geometric properties of polygons in the drawn image to the equivalent polygon in a ground truth photo. There are four distinct properties of a polygon: its size, its position, its orientation and the proportionality of its shape. We can decompose error into four components and investigate how each contributes to drawing performance. We applied a polygon-based accuracy analysis to a pilot data set of representational drawings and found that an expert drawer outperformed a novice on every dimension of polygon error. The results of the pilot data analysis correspond well with the apparent quality of the drawings, suggesting that the landmark and polygon analysis is a method worthy of further study. Applying this geometric analysis to a within-subjects comparison of accuracy in the positive and negative space suggests there is a trade-off on dimensions of error. The performance-based analysis of geometric deformations will allow the study of drawing accuracy at different levels of organization, in a systematic and quantitative manner. We briefly describe the method and its potential applications to research in drawing education and visual perception.

[1]  F. Allard,et al.  Angle-drawing accuracy as an objective performance-based measure of drawing expertise. , 2013 .

[2]  Daniel Vélez Día,et al.  Biomechanics and Motor Control of Human Movement , 2013 .

[3]  J. Danckert,et al.  Spatial visualization predicts drawing accuracy , 2011 .

[4]  Linda Carson,et al.  Artists drawing angles: An expertise approach , 2010 .

[5]  Ryan Schmidt,et al.  On expert performance in 3D curve-drawing tasks , 2009, SBIM '09.

[6]  J. Tchalenko Segmentation and accuracy in copying and drawing: Experts and beginners , 2009, Vision Research.

[7]  J. Tchalenko,et al.  Eye–hand strategies in copying complex lines , 2009, Cortex.

[8]  D. Chan,et al.  Judging Drawing Abilities of Hong Kong Chinese Gifted Students: Could Nonexperts Make Expert-Like Judgments? , 2009 .

[9]  Adam Finkelstein,et al.  Where do people draw lines , 2008, SIGGRAPH 2008.

[10]  J. Tchalenko,et al.  Eye Movements in Drawing Simple Lines , 2007, Perception.

[11]  William P. Seeley,et al.  Integrating art historical, psychological, and neuroscientific explanations of artists' advantages in drawing and perception. , 2007 .

[12]  Gnanathusharan Rajendran,et al.  How perception impacts on drawings. , 2005, Journal of experimental psychology. Human perception and performance.

[13]  Dale J. Cohen,et al.  Look little, look often: The influence of gaze frequency on drawing accuracy , 2005, Perception & psychophysics.

[14]  Aaron Kozbelt,et al.  Artists as experts in visual cognition , 2001 .

[15]  D. Cohen,et al.  Why can't most people draw what they see? , 1997, Journal of experimental psychology. Human perception and performance.

[16]  Robert J. Crutcher,et al.  The role of deliberate practice in the acquisition of expert performance. , 1993 .

[17]  Betty Edwards,et al.  The new drawing on the right side of the brain workbook : guided practice in the five basic skills of drawing , 1979 .

[18]  Kimon Nicolaides,et al.  The natural way to draw : a working plan for art study , 1941 .