“Data-Driven Suggestions for Portrait Posing”
Conference:
Experience Type(s):
Title:
- Data-Driven Suggestions for Portrait Posing
Description:
Next to lighting, posing is the most challenging aspect of portrait photography. A commonly adopted solution is to learn by example, which is beneficial for both trained photographers and novice users, especially when subjects have no clue about how to pose themselves. A collection of portrait images by professionals (e.g., [Perkins 2009]) provides a resource for photographers seeking inspiration for their own work. Such handful posing references (e.g., Posing App) have also been made available to smartphone platforms, which offer the unique possibility of directly overlaying camera view with a reference pose as visual guidance.
References:
[1]
Chaudhuri, S., and Koltun, V. 2010. Data-driven suggestions for creativity support in 3d modeling. ACM Trans. Graph. 29, 6, 183:1–183:10.
[2]
Cheng, B., Ni, B., Yan, S., and Tian, Q. 2010. Learning to photograph. In MM ’10, ACM, 291–300.
[3]
Choi, M. G., Yang, K., Igarashi, T., Mitani, J., and Lee, J. 2012. Retrieval and visualization of human motion data via stick figures. Computer Graphics Forum 21, 7, 2057–2065.
[4]
Jammalamadaka, N., Zisserman, A., Eichner, M., Ferrari, V., and Jawahar, C. 2012. Video retrieval by mimicking poses. In ICMR, ACM, 34.
[5]
Lee, Y. J., Zitnick, C. L., and Cohen, M. F. 2011. Shadowdraw: real-time user guidance for freehand drawing. ACM Trans. Graph. 30, 27:1–27:10.
[6]
Nara, Y., Fujimura, W., Koide, Y., Kunitomi, G., and Shirai, A. 2013. Kinemotion: context controllable emotional motion analysis method for interactive cartoon generator. In ACM SIGGRAPH 2013 Posters.
[7]
Perkins, M. 2009. 500 Poses for Photographing Women: A Visual Sourcebook for Portrait Photographers. Amherst Media, Incorporated.
[8]
Projects, L., 2013. Sculpture lens – strike a pose. Cleveland Museum of Art.
[9]
Smith, J. 2004. Posing for Portrait Photography: A Head-to-Toe Guide. Amherst Media, Incorporated.
[10]
Yeh, J.-S., Wen, C.-L., Chiang, J.-Y., Wang, L.-K., Huan, T.-H., Chen, D.-Y., Lin, L.-F., Chuang, Y.-Y., Yu, M.-Y., Chen, B.-Y., et al. 2006. Bodyrevolution: Hand-shadow illusions and 3d DDR based on efficient model retrieval. In ACM SIGGRAPH 2006 Emerging technologies, 13.
[11]
Yin, W., Mei, T., and Chen, C. W. 2012. Crowdsourced learning to photograph via mobile devices. In ICME ’12, 812–817.
[12]
Zhou, S., Fu, H., Liu, L., Cohen-Or, D., and Han, X. 2010. Parametric reshaping of human bodies in images. ACM Transactions on Computer Graphics 29, 4, Article No. 126.
