For my paper on perspective, here are the scientific and technical papers that I found most inspiring and informative. I recommend these as starting points for a deeper dive into the background of the paper's topics.
M. Agrawala, D. Zorin, T. Munzner (2000). Artistic multiprojection rendering. Eurographics Workshop on Rendering Techniques.
A computer graphics paper proposing the idea of different projections for different objects, showing that doing so can better represent various artistic techniques.
D. Vishwanath, A. Girshick, M. S. Banks, (2005). Why pictures look right when viewed from the wrong place. Nature neuroscience, 8(10):1401-1410.
Studies whether and how viewers compensate for slant when viewing linear perspective pictures.
R. Carroll, M. Agrawala, A. Agarwala. (2009). Optimizing content-preserving projections for wide-angle images. ACM Trans. Graph., 28(3).
Introduces content-aware warping, showing that a computational nonlinear projection can look much more "realistic" than a wide-angle linear perspective photograph.
E. A. Cooper, E. A. Piazza, M. S. Banks (2012). The perceptual basis of common photographic practice. Journal of vision, 12(5):8-8.
Explains how perspective compression/expansion effects arise, as a product of our preferred viewing distances for pictures, together with a lack of distance compensation.
R. Pepperell, M. Haertel (2014). Do artists use linear perspective to depict visual space? Perception, 43(5):395-416.
Analysis of artists' depictions of space in art and art history, showing systematic differences from linear perspective corresponding to "natural perspective."
J. Koenderink, A. van Doorn, R. Pepperell, B. Pinna (2016). On right and wrong drawings. Art & Perception, 4:1-38.
Compelling argument against the notion of linear perspective as the "right" way to make pictures or to explain human perception.
R. Rosenholtz. (2016). Capabilities and limitations of peripheral vision. Annu. Rev. Vis. Sci.
Discusses the functioning of peripheral vision, dispelling several myths about it, e.g., that it's just blurry vision, or that it's only used for motion detection.
R. Rosenholtz. (2020). Demystifying visual awareness: Peripheral encoding plus limited decision complexity resolve the paradox of rich visual experience and curious perceptual failures. Atten Percept Psychophys.
Argues that the properties of peripheral vision explain many disparate properties of human vision, across many tasks.
Paul Linton, Michael J. Morgan, Jenny C. A. Read, Dhanraj Vishwanath, Sarah H. Creem-Regehr, Fulvio Domini (2023). New Approaches to 3D Vision. Phil. Trans. R. Soc.
Section 3 contains an excellent review of the current state of knowledge of human 3D vision.