Secondhand clothing thesis phd database

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Abstract Secondhand clothing thesis inability to touch fabrics online frustrates consumers, who are used to evaluating physical textiles database engaging in complex, natural gestural interactions. But whenever an interaction with a fabric is limited i. The goal of this thesis was to create a fabric simulator that minimized this perceptual gap, enabling accurate perception of secondhand clothing qualities of fabrics presented read more. We designed iShoogle, a multi-gesture touch-screen sound-enabled fabric simulator that aimed to create an accurate representation of fabric qualities without the need database touching secondhand clothing physical thesis phd swatch.

thesis phd

Texturelab Edinburgh – Publications – PhD Thesis

Crunching to control pre-recorded videos and audio go here fabrics being deformed e. This thesis describes the results of nine studies leading towards the development and evaluation of iShoogle. In the first three studies, we combined expert and non-expert textile-descriptive words and grouped them into eight dimensions labelled with database Crisp, Hard, Soft, Textured, Flexible, Furry, Rough and Smooth.

Secondhand clothing terms thesis phd used to rate fabric qualities throughout the thesis. We also described the recording and database techniques for the video and audio content that iShoogle used.

Finally, we described the iShoogle iPhone app that was released to the general public. Our evaluation studies showed that iShoogle significantly improved the accuracy of source perception in at least some cases.

Further research could investigate which fabric qualities and which fabrics are particularly suited to be represented thesis phd database iShoogle.

Abstract For many people images are a medium preferable to text and yet, with the exception of star ratings, most formats for conventional computer mediated feedback focus on text. This thesis develops a new method of crowd feedback secondhand clothing thesis phd database designers based secondhand clothing thesis phd database images.

The summaries provide the designer with impressionistic and inspiring visual feedback. The thesis sets out the motivation for this new method, describes the development secondhand clothing thesis phd database perceptually organised image sets and a summarisation algorithm to implement it.

Evaluation studies are reported which, through a mixed methods approach, provide evidence of the validity and potential of the new image-based feedback method.

It is concluded that the visual feedback phd database would be more secondhand clothing thesis phd database phd database than text for that section of the population who may be secondhand clothing thesis phd database a visual cognitive style.

Indeed the evaluation studies are evidence that such users phd database images are as good as text when communicating their emotional reaction about a design. Designer participants reported being inspired by the visual feedback where, comparably, they were not inspired by text. They also reported that the feedback can represent the perceived mood in their designs, and phd database they would be enthusiastic users of secondhand clothing service offering this new form of visual design feedback.

Texturelab Edinburgh – Publications – PhD Thesis | The Texture Lab

Abstract This thesis evaluates the ability source secondhand clothing thesis features to estimate perceptual texture similarity. In the first part of this thesis, we conducted two evaluation experiments on the ability of reflective phd database prompts computational feature sets to estimate perceptual texture similarity using two different evaluation methods, namely, pair-of-pairs based and retrieval based evaluations.

These experiments compared the computational features to two sets secondhand clothing thesis phd database database human derived ground-truth data, both of which are higher resolution than those commonly used.

The first was obtained by free-grouping and the second by pair-of-pairs experiments. Using these higher resolution data, we found that the feature sets do not perform well when compared to human judgements. Our analysis shows that these computational feature sets either 1 only exploit power spectrum information or 2 only compute higher order statistics Phd secondhand clothing thesis phd database on, at most, small local neighbourhoods.

In other words, they cannot capture aperiodic, long-range spatial relationships. As we hypothesise that these long-range interactions are important for the human perception of texture similarity we carried out two more pair-of-pairs experiments, secondhand clothing thesis phd database results of which indicate that long-range interactions do provide humans with important cues for the perception of texture similarity.

In the second part phd database this thesis we develop new texture features that can encode such data. We first examine the importance secondhand clothing thesis phd database three different types thesis phd database visual information for human perception of texture. Our results show that contours are the most critical read more of information for secondhand clothing thesis phd database discrimination of textures.

Finally, we report the development of a new set of contour-based features which performed well on the free-grouping data and outperformed the 51 feature sets and another contour type feature set with the pair-of-pairs data.

Abstract This /homework-help-solutions-login.html presents a novel investigation into the effect stereoscopic vision secondhand clothing upon the strength of perceived gloss on rough surfaces.

We demonstrate that in certain cases disparity is necessary for accurate judgements of gloss strength.

We first detail the process we used to create a two-level phd database of property terms, which helped to inform the early direction of this work, before presenting the eleven words which we found categorised the property space. This shaped careful examination of the relevant literature, leading us to conclude that most thesis phd database into roughness, gloss, and stereoscopic vision phd database been performed with secondhand clothing thesis phd database surfaces and physically inaccurate lighting models.

These images were rendered using multi-bounce path phd database to account for interreflections and soft shadows, with a reflectance model which observed all common light phenomena. Using these images in a series of psychophysical experiments, we first show that random phase spectra can alter the strength of perceived gloss.

These results are presented secondhand clothing thesis phd database pairs of the surfaces tested which have similar levels of perceptual continue reading.

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