Color-based surface reflectance separation for scene illumination estimation and rendering

Given the importance of color processing in computer vision and computer graphics, estimating and rendering illumination spectral reflectance of image scenes is important to advance the capability of a large class of applications such as scene reconstruction, rendering, surface segmentation, object recognition, and reflectance estimation. Consequently, this dissertation proposes effective methods for reflection components separation and rendering in single scene images. Based on the dichromatic reflectance model, a novel decomposition technique, named the Mean-Shift Decomposition (MSD) method, is introduced to separate the specular from diffuse reflectance components. This technique provides a direct access to surface shape information through diffuse shading pixel isolation. More importantly, this process does not require any local color segmentation process, which differs from the traditional methods that operate by aggregating color information along each image plane. ^ Exploiting the merits of the MSD method, a scene illumination rendering technique is designed to estimate the relative contributing specular reflectance attributes of a scene image. The image feature subset targeted provides a direct access to the surface illumination information, while a newly introduced efficient rendering method reshapes the dynamic range distribution of the specular reflectance components over each image color channel. This image enhancement technique renders the scene illumination reflection effectively without altering the scene’s surface diffuse attributes contributing to realistic rendering effects. ^ As an ancillary contribution, an effective color constancy algorithm based on the dichromatic reflectance model was also developed. This algorithm selects image highlights in order to extract the prominent surface reflectance that reproduces the exact illumination chromaticity. This evaluation is presented using a novel voting scheme technique based on histogram analysis. ^ In each of the three main contributions, empirical evaluations were performed on synthetic and real-world image scenes taken from three different color image datasets. The experimental results show over 90% accuracy in illumination estimation contributing to near real world illumination rendering effects. ^

This was uncalled for : Dave Eggers' A heartbreaking work of staggering genius subverts the genre of traditional autobiography as an attempt at rendering his life

The purpose of this thesis was to explore why and how the author Dave Eggers subverts the genre of traditional autobiography in his memoir A Heartbreaking Work of Staggering Genius. I compared Eggers' work to Gertrude Stein's The Autobiography of Alice B. Toklas and William S. Burroughs' Junky. I found that like Stein and Burroughs, Eggers utilized various rhetorical devices outside of traditional autobiography because he could not find the means to express himself within the genre. Eggers employed various rhetorical methods reserved for fictional texts, such as stream of consciousness, characterization, and irony, in order to reconcile his feelings towards his parents' deaths and render those feelings in his memoir. I established that Eggers concluded his memoir with impossibility of arriving at one Meaning that could summate his tragic experience. Thus, I proved that Eggers gave the reader the only authentic interpretation he could: the memoir as a small, incomplete glimpse into his life.