Prototyping and Transforming Facial Textures for Perception Research
By Bernard Paul Tiddeman, Michael Burt, David I. Perrett. IEEE Computer Graphics and Applications, 2001
830 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/bbcc99adeda18aa336a3a78cadb0d13b9f98aa99
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In Computer Vision and Pattern Recognition
- Anthony C. Little
- Xin Geng
- K. Smith‐Miles
- Zhi-Hua Zhou
- B. Jones
- David Feinberg
- L. DeBruine
- Helena Mannion
Citations in the corpus
- Human preference for masculinity differs according to context in faces, bodies, voices, and smell (2011, methodology): “The composite images were made by creating an average image made up of 5 randomly assigned individual facial photographs (this technique has been used to create composite images in previous studies, see e.g., Benson and Perrett 1993; Tiddeman et al. 2001).”
- Human preferences for facial masculinity change with relationship type and environmental harshness (2007, methodology): “This technique has been used to create composite images in previous studies (Benson and Perrett 1993; Tiddeman et al. 2001 ; L ittle and Hancock 2002).”
- Automatic Age Estimation Based on Facial Aging Patterns (2007, methodology): “[25] extended this work by adopting a waveletbased approach to add high frequency information to the age progressed images.”
- Non-commercial Research and Educational Use including without Limitation Use in Instruction at Your Institution, Sending It to Specific Colleagues That You Know, and Providing a Copy to Your Institution's Administrator. All Other Uses, Reproduction and Distribution, including without Limitation Comm (2005, neutral): “However, this method comes at a price, because employing a trial geometry leads to a Hamiltonian that is not capable of reproducing the experimental spectrum faithfully.”
- Social influence in human face preference: men and women are influenced more for long-term than short-term attractiveness decisions (2008, background): “(For technical details including mathematical algorithms, see Rowland & Perrett 1995; Tiddeman et al., 2001.)”
- Face aging with conditional generative adversarial networks (2017, background): “Traditional face aging approaches can be roughly split between the prototyping ones [5, 6] and the modeling ones [7, 8].”
- Manipulation of Infant-Like Traits Affects Perceived Cuteness of Infant, Adult and Cat Faces (2012, methodology): “For more information on this technique see Tiddeman et al. (2001).”
- What is good is beautiful: Face preference reflects desired personality (2006, methodology): “For more information on this technique see Tiddeman et al. (2001) .”
- Viewing attractive or unattractive same-sex individuals changes self-rated attractiveness and face preferences in women (2006, methodology): “The composite images were made by creating an average image made up of five randomly assigned individual facial photographs (this technique has been used to create composite images in previous studies, see e.g. Benson & Perrett 1993; Tiddeman et al. 2001; Little & Hancock 2002).”
- The relationship between shape symmetry and perceived skin condition in male facial attractiveness (2004, methodology): “First, an average male face was generated representing the mean shape, colour and texture information for all 113 faces used in Study 1 (for methods, see Rowland & Perrett, 1995; Tiddeman et al., 2001).”
- The voice and face of woman: One ornament that signals quality? (2005, methodology): “The formulation of average faces is a useful tool to reduce noise prevalent in correlational studies as averaging highlights qualities common to the groups and suppresses those that are distinctive to individuals in the groups (see Benson & Perrett, 1993; Tiddeman et al., 2001).”
- Visual adaptation to masculine and feminine faces influences generalized preferences and perceptions of trustworthiness (2006, methodology): “…prototypes to create masculinized versions and by 50% of the differences in shape to create feminized versions (see Rowland and Perrett, 1995 and Tiddeman et al., 2001 for technical details of this method and Jones, Little, Boothroyd, DeBruine, et al., 2005, Little et al., 2001, 2002, 2004, and…”
- Facial appearance affects voting decisions. (2007, methodology): “Following the methods of Study 1, the difference in shape between Bush's and Kerry's face was applied to a neutral face image (Tiddeman et al., 2001), creating a face exaggerating Bush's shape as it differs from Kerry's and a face exaggerating Kerry's shape as it differs from Bush's (Fig.”