“…Being able to circumvent recognition does not necessitate complete isolation from it. Within the field of computer vision, the detection of a shape’s orientation is an often-used image preprocessing step applied before image registration and recognition (El-Sayed, Abdel-Kader, & Ramadan, 2010), and a number of algorithms have been developed to automatically detect the orientation and/or directionality of shapes (Cortadellas, Amat, & de la Torre, 2004; El-Sayed et al, 2010; Lin, 1996; Martinez-Ortiz & Žunić, 2010; Tzimiropoulos, Mitianoudis, & Stathaki, 2009; Žunić & Rosin, 2009; Žunić, Rosin, & Kopanja, 2006). The systematic and rapid extraction of an object’s directionality could also serve a role in human object recognition (see, e.g., Leek & Johnston, 2006; Maki, 1986) by facilitating the search for and alignment to an existing object template or model.…”