c ○ 2003 Kluwer Academic Publishers. Manufactured in The Netherlands. Understanding the Behavior of SFM Algorithms: A Geometric Approach

Abstract. We put forth in this paper a geometrically motivated motion error analysis which is capable of supporting investigation of global effect such as inherent ambiguities. This is in contrast with the usual statistical kinds of motion error analyses which can only deal with local effect such as noise perturbations, and where much of the results regarding global ambiguities are empirical in nature. The error expression that we derive allows us to predict the exact conditions likely to cause ambiguities and how these ambiguities vary with motion types such as lateral or forward motion. Given the erroneous 3-D motion estimates caused by the inherent ambiguities, it is also important to study the behavior of the resultant distortion in depth recovered under different motion-scene configurations. Such an investigation may alert us to the occurrence of ambiguities under different conditions and be more careful in picking the solution. Our formulation, though geometrically motivated, was also put to use in modeling the effect of noise and in revealing the strong influence of feature distribution. Experiments on both synthetic and real image sequences were conducted to verify the various theoretical predictions. Keywords: structure from motion, error analysis, epipolar constraint, inherent ambiguity, depth distortio

Error characteristics of SFM with unknown focal length

Ph.DDOCTOR OF PHILOSOPH

Algebraic Number Starscapes

We study the geometry of algebraic numbers in the complex plane, and their Diophantine approximation, aided by extensive computer visualization. Motivated by these images, called algebraic starscapes, we describe the geometry of the map from the coefficient space of polynomials to the root space, focussing on the quadratic and cubic cases. The geometry describes and explains notable features of the illustrations, and motivates a geometric-minded recasting of fundamental results in the Diophantine approximation of the complex plane. The images provide a case-study in the symbiosis of illustration and research, and an entry-point to geometry and number theory for a wider audience. The paper is written to provide an accessible introduction to the study of homogeneous geometry and Diophantine approximation. We investigate the homogeneous geometry of root and coefficient spaces under the natural $\operatorname{PSL}(2;\mathbb{C})$ action, especially in degrees 2 and 3. We rediscover the quadratic and cubic root formulas as isometries, and determine when the map sending certain families of polynomials to their complex roots (our starscape images) are embeddings. We consider complex Diophantine approximation by quadratic irrationals, in terms of hyperbolic distance and the discriminant as a measure of arithmetic height. We recover the quadratic case of results of Bugeaud and Evertse, and give some geometric explanation for the dichotomy they discovered (Bugeaud, Y. and Evertse, J.-H., Approximation of complex algebraic numbers by algebraic numbers of bounded degree, Ann. Sc. Norm. Super. Pisa Cl. Sci. (5) 8 (2009), no. 2, 333-368). Our statements go a little further in distinguishing approximability in terms of whether the target or approximations lie on rational geodesics. The paper comes with accompanying software, and finishes with a wide variety of open problems.Comment: 63 pages, 36 figures; this version includes a technical introduction for an expert audienc

Investigating and Writing Achitectural History: Subjects, Methodologies and Frontiers.

The volume contains the abstracts and full texts of the 157 papers and position statements presented and discussed at the III EAHN (European Architectural History) International Meeting, Torino 19-21 June 201

Depth perception from motion under viewpoint distortion

Master'sMASTER OF ENGINEERIN

Italian piazze: models for public outdoor space in sustainable communities

Fundamental to the design of sustainable neighborhood spatial units, is an understanding of the relationship between sustainability, public outdoor space, and the production of social capital. Thoughtful and purposefully designed public outdoor space can act as a venue for the production of social capital essential for resilient and sustainable communities. The morphology of a public outdoor space plays a critical role in its success as effective infrastructure for the development of community social capital. This research is concerned with urban public outdoor space and the identification and analysis of the spatial and morphological features which maximize the social utility of that space. These design variables are examined through the physical analysis of a regional group of exemplary Italian piazze. In this study, the U. S. Green Building Council\u27s L.E.E.D. for Neighborhood Development Rating System is critically examined and suggestions are made for modifications to its treatment of public outdoor spaces. Preliminarily, the underlying structure of the LEED ND, in regard to the criteria\u27s typology of public outdoor space, is examined and suggestions made for its strengthening. With that typology in place, a systematically selected sample of Italian piazze is used as prototypical of those physical characteristics seen as fundamental to effective public outdoor space. This research focuses on the criticality of planar dimension as a basis for operative pubic outdoor space design. Also important to a comprehensive understanding of spatial design is the inclusion of other morphological features that contribute to effective public outdoor space. These additional attributes, corner morphology, sectional proportion and planar area, are also examined and evaluated. Specific recommendations are made for improvements in the LEED ND criteria based on the developed typology and the analysis of the shared physical features of the selected piazze. Particular attention is given to those elements in the morphology of effective public outdoor space directly related to the human perceptual experience

Enhancing Mesh Deformation Realism: Dynamic Mesostructure Detailing and Procedural Microstructure Synthesis

Propomos uma solução para gerar dados de mapas de relevo dinâmicos para simular deformações em superfícies macias, com foco na pele humana. A solução incorpora a simulação de rugas ao nível mesoestrutural e utiliza texturas procedurais para adicionar detalhes de microestrutura estáticos. Oferece flexibilidade além da pele humana, permitindo a geração de padrões que imitam deformações em outros materiais macios, como couro, durante a animação. As soluções existentes para simular rugas e pistas de deformação frequentemente dependem de hardware especializado, que é dispendioso e de difícil acesso. Além disso, depender exclusivamente de dados capturados limita a direção artística e dificulta a adaptação a mudanças. Em contraste, a solução proposta permite a síntese dinâmica de texturas que se adaptam às deformações subjacentes da malha de forma fisicamente plausível. Vários métodos foram explorados para sintetizar rugas diretamente na geometria, mas sofrem de limitações como auto-interseções e maiores requisitos de armazenamento. A intervenção manual de artistas na criação de mapas de rugas e mapas de tensão permite controle, mas pode ser limitada em deformações complexas ou onde maior realismo seja necessário. O nosso trabalho destaca o potencial dos métodos procedimentais para aprimorar a geração de padrões de deformação dinâmica, incluindo rugas, com maior controle criativo e sem depender de dados capturados. A incorporação de padrões procedimentais estáticos melhora o realismo, e a abordagem pode ser estendida além da pele para outros materiais macios.We propose a solution for generating dynamic heightmap data to simulate deformations for soft surfaces, with a focus on human skin. The solution incorporates mesostructure-level wrinkles and utilizes procedural textures to add static microstructure details. It offers flexibility beyond human skin, enabling the generation of patterns mimicking deformations in other soft materials, such as leater, during animation. Existing solutions for simulating wrinkles and deformation cues often rely on specialized hardware, which is costly and not easily accessible. Moreover, relying solely on captured data limits artistic direction and hinders adaptability to changes. In contrast, our proposed solution provides dynamic texture synthesis that adapts to underlying mesh deformations. Various methods have been explored to synthesize wrinkles directly to the geometry, but they suffer from limitations such as self-intersections and increased storage requirements. Manual intervention by artists using wrinkle maps and tension maps provides control but may be limited to the physics-based simulations. Our research presents the potential of procedural methods to enhance the generation of dynamic deformation patterns, including wrinkles, with greater creative control and without reliance on captured data. Incorporating static procedural patterns improves realism, and the approach can be extended to other soft-materials beyond skin