MaquiAR: uma solução com realidade aumentada aplicada no e-commerce de maquiagem

TCC(graduação) - Universidade Federal de Santa Catarina. Centro Tecnológico. Sistemas de Informação.Compras online estão cada vez mais populares, e receberam um impulso ainda maior com a pandemia da COVID-19. Assim, foram evidenciados tanto suas vantagens em relação ao comércio em lojas físicas, como a comodidade, quanto suas desvantagens. Uma delas é a impossibilidade de tocar o produto com as mãos. É difícil ter certeza quanto de como o produto é no mundo real já que a maior parte dos produtos são apresentados em fotos 2D e breve descrição. Com isso muitos consumidores acabam desistindo da compra ou se arrependendo dela porque o produto não era o esperado. O objetivo deste trabalho é desenvolver um aplicativo com Realidade Aumentada de maquiagem para dispositivos móveis, com o propósito de levar aos usuários uma experiência diferente na apresentação de maquiagem online e maior segurança para comprá-las. Para sustentar a proposta do aplicativo, foi estudado na literatura os impactos do uso de Realidade Aumentada na intenção de compra dos consumidores e foram analisados aplicativos populares relacionados ao comércio eletrônico de maquiagens. A proposta deste trabalho é um aplicativo Android que permitirá os usuários experimentarem diferentes tipos de maquiagem através da câmera do smartphone, por meio de filtros com Realidade Aumentada e terá acesso a informações das maquiagens que estão experimentando e de como comprá-las. É descrito o processo de desenvolvimento do aplicativo, a arquitetura utilizada e as dificuldades encontradas. Por fim, são apresentados testes realizados com usuários e os seus resultados.Online shopping is increasingly popular, and has received a boost with the COVID-19 pandemic. Thus, both its advantages in relation to shopping in physical stores, such as convenience, and its disadvantages were evidenced. One of the disadvantages is the impossibility to touch the product with your hands. It is hard to evaluate how the product looks in real world since most of the products are presented in 2D photos and a brief description. As a result, many consumers end up giving up on the purchase or regretting it because the product was not what they expected it to be. The goal of this work is to develop a makeup Augmented Reality application for mobile devices, with the purpose of bringing users a different experience in how makeup is presented online and greater security to buy them. To support this application's proposal, the impacts of the use of Augmented Reality on consumers' purchase intentions were studied in the literature and popular applications related to makeup e-commerce were analyzed. The proposal of this work is an Android application that will allow users to try different types of makeup through the smartphone's camera, through filters with Augmented Reality and the users will have access to information about the makeup they are trying and how to buy them. The application development process, the architecture used and the difficulties encountered are described. Finally, tests performed with users and their results are presented

Efficient data structures for piecewise-smooth video processing

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2011.Cataloged from PDF version of thesis.Includes bibliographical references (p. 95-102).A number of useful image and video processing techniques, ranging from low level operations such as denoising and detail enhancement to higher level methods such as object manipulation and special effects, rely on piecewise-smooth functions computed from the input data. In this thesis, we present two computationally efficient data structures for representing piecewise-smooth visual information and demonstrate how they can dramatically simplify and accelerate a variety of video processing algorithms. We start by introducing the bilateral grid, an image representation that explicitly accounts for intensity edges. By interpreting brightness values as Euclidean coordinates, the bilateral grid enables simple expressions for edge-aware filters. Smooth functions defined on the bilateral grid are piecewise-smooth in image space. Within this framework, we derive efficient reinterpretations of a number of edge-aware filters commonly used in computational photography as operations on the bilateral grid, including the bilateral filter, edgeaware scattered data interpolation, and local histogram equalization. We also show how these techniques can be easily parallelized onto modern graphics hardware for real-time processing of high definition video. The second data structure we introduce is the video mesh, designed as a flexible central data structure for general-purpose video editing. It represents objects in a video sequence as 2.5D "paper cutouts" and allows interactive editing of moving objects and modeling of depth, which enables 3D effects and post-exposure camera control. In our representation, we assume that motion and depth are piecewise-smooth, and encode them sparsely as a set of points tracked over time. The video mesh is a triangulation over this point set and per-pixel information is obtained by interpolation. To handle occlusions and detailed object boundaries, we rely on the user to rotoscope the scene at a sparse set of frames using spline curves. We introduce an algorithm to robustly and automatically cut the mesh into local layers with proper occlusion topology, and propagate the splines to the remaining frames. Object boundaries are refined with per-pixel alpha mattes. At its core, the video mesh is a collection of texture-mapped triangles, which we can edit and render interactively using graphics hardware. We demonstrate the effectiveness of our representation with special effects such as 3D viewpoint changes, object insertion, depthof- field manipulation, and 2D to 3D video conversion.by Jiawen Chen.Ph.D

Using Multiple MEMS IMUs to form a Distributed Inertial Measurement Unit

MEMS IMUs are readily available in quantity and have extraordinary advantages over conventional IMUs in size, weight, cost, and power consumption. However, the poor performance of MEMS IMUs limits their use in more demanding military applications. It is desired to use multiple distributed MEMS IMUs to simulate the performance of a single, more costly IMU, using the theory behind Gyro-Free IMUs. A Gyro-Free IMU (GF-IMU) uses a configuration of accelerometers only to measure the three accelerations and three angular rotations of a rigid body in 3-D space. Theoretically, almost any configuration of six distributed accelerometers yields sufficient measurements to solve for the translational and angular acceleration. In reality, however, sensor noise corrupts the measurements and good sensor geometry is necessary to obtain an accurate estimate of the translational and angular accelerations. Determining the optimal configuration of accelerometers is an exercise in geometry. This thesis investigates the optimal geometry of an INS constructed of multiple networked IMUs and develops the accompanying mechanization and error equations. Simple simulations are run to test and validate the basic design principles

Microprocessor realizations of range rate filters

The performance of five digital range rate filters is evaluated. A range rate filter receives an input of range data from a radar unit and produces an output of smoothed range data and its estimated derivative range rate. The filters are compared through simulation on an IBM 370. Two of the filter designs are implemented on a 6800 microprocessor-based system. Comparisons are made on the bases of noise variance reduction ratios and convergence times of the filters in response to simulated range signals

Real-time structured video decoding and display

Thesis (M.S.)--Massachusetts Institute of Technology, Program in Media Arts & Sciences, 1995.Includes bibliographical references (leaves 57-59).by Brett Dawson Granger.M.S