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Non-Linear Biases in Slant Perception

Guckes, Kevin M.

Abstract Details

2009, Master of Arts, Ohio State University, Psychology.
Two experiments were performed which continue the Todd Lab investigation of hypotheses about cue integration not accounted for by prior research about human slant perception. A critical assumption is made by Knill & Saunders (2003) and others that use their model of cue integration which assumes judgments of slant are veridical, but that variance varies in relation to magnitude of slant. The series of experiments presented here show that this is not necessarily the case, but that observer’s judgments of slant from texture are systematically biased: that stereoscopic surfaces appear significantly more slanted than those purely defined by monocular texture gradients. The follow provides evidence that variance does not change as a function of slant, as previously hypothesized, but rather a non-linear bias affects the participants’ perception of slant. This would give an alternative explanation to previous findings, not readily apparent as a result of the discrimination methods used.
James Todd (Advisor)
Delwin Lindsey (Committee Member)
Alexander Petrov (Committee Member)
45 p.

Recommended Citations

Citations

  • Guckes, K. M. (2009). Non-Linear Biases in Slant Perception [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1250612536

    APA Style (7th edition)

  • Guckes, Kevin. Non-Linear Biases in Slant Perception. 2009. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1250612536.

    MLA Style (8th edition)

  • Guckes, Kevin. "Non-Linear Biases in Slant Perception." Master's thesis, Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1250612536

    Chicago Manual of Style (17th edition)