Guo et al. (2011) showed that attractiveness was detectable in peripheral vision. Since there are different types of attractiveness (Rhodes, 2006), we investigated how beauty and cuteness are detected in peripheral vision with a brief presentation. Participants (n = 45) observed two Japanese female faces for 100 ms, then were asked to respond which face was more beautiful (or cuter). The result...

Statistical models explaining students' ratings of photographs of withinstand forest scenes were constructed for 99 forest inventory plots in east Texas pine and oak-pine forest types. Models with parameters that are sensitive to visual preference yet compatible with forest management and timber inventories are presented. The models suggest that the density of sawtimber-sized trees and the prop...

I recently made a big mistake: I tried to explain my theory of beauty to an art historian. “There are several levels of beauty,” I started to explain. “Surface beauty, which I call visceral; beauty in operation or behavioral; and beauty in depth, in meaning, and implication, which I call reflective. Visceral or surface beauty is biologically determined. Everyone,” I said, “is pretty much the sa...

Facial beauty prediction (FBP) is a significant visual recognition problem to make assessment of facial attractiveness that is consistent to human perception. To tackle this problem, various data-driven models, especially state-of-the-art deep learning techniques, were introduced, and benchmark dataset become one of the essential elements to achieve FBP. Previous works have formulated the recog...