3 resultados para Image Reconstruction

em Aston University Research Archive


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OBJECTIVE: Breast cancer diagnosis and treatments can have a profound impact upon women's well-being, body image, and sexual functioning, but less is known about the relational context of their coping and the impact upon their intimate partners. Our study focuses upon couples' experiences of breast cancer surgery, and its impact on body image and sexual intimacy. METHOD: Utilizing a dyadic design, we conducted 8 semistructured individual interviews, with 4 long-term heterosexual couples, after the women had undergone mastectomy with reconstruction. Interviews explored both partners' experiences of diagnosis, decision-making, and experiences of body image and sexual intimacy. Interpretative phenomenological analysis (IPA) was adopted; this is a qualitative research approach characterized by in-depth analysis of the personal meaning of experiences. RESULTS: Findings illustrate the positive acceptance that partners may express toward their wives' postsurgical bodies. They illuminate ways in which gendered coping styles and normative sexual scripts may shape couples' negotiations of intimacy around "altered embodiment." Reciprocal communication styles were important for couples' coping. The management of expectations regarding breast reconstruction may also be helpful. CONCLUSIONS: The insights from the dyadic, multiple perspective design suggest that psychologists must situate the meaning of supportive relationships and other protective factors in the context of complex life events and histories, in order to understand and support people's developing responses to distress. (PsycINFO Database Record

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Photometric Stereo is a powerful image based 3D reconstruction technique that has recently been used to obtain very high quality reconstructions. However, in its classic form, Photometric Stereo suffers from two main limitations: Firstly, one needs to obtain images of the 3D scene under multiple different illuminations. As a result the 3D scene needs to remain static during illumination changes, which prohibits the reconstruction of deforming objects. Secondly, the images obtained must be from a single viewpoint. This leads to depth-map based 2.5 reconstructions, instead of full 3D surfaces. The aim of this Chapter is to show how these limitations can be alleviated, leading to the derivation of two practical 3D acquisition systems: The first one, based on the powerful Coloured Light Photometric Stereo method can be used to reconstruct moving objects such as cloth or human faces. The second, permits the complete 3D reconstruction of challenging objects such as porcelain vases. In addition to algorithmic details, the Chapter pays attention to practical issues such as setup calibration, detection and correction of self and cast shadows. We provide several evaluation experiments as well as reconstruction results. © 2010 Springer-Verlag Berlin Heidelberg.