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Morphing is a technique that smoothly transforms a shape onto another. In this paper, we present a method for morphing of two dynamic meshes: mesh sequences representing the keyframes of animated shapes over time. The pipeline of the proposed method comprises two main stages: template-based cross-parameterization and dynamic mesh interpolation. In the cross-parameterization stage, we use a variation...
Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
The advances of the graphics programing unit (GPU) architecture and its rapidly evolving towards general purpose GPU make a series of applications adopt a general purpose (GPGPU) and a graphics computing interoperability approach in which the first is used for heavy calculations and the second for 3D graphics rendering. Because GPGPU exposes several hardware features, such as shared memory and thread...
Blind image quality assessment (BIQA) methods aim to estimate the quality of a given test image without referring to the corresponding reference (original) image. Most BIQA methods use visual sensitivity models, which take into consideration intrinsic image characteristics (e.g. contrast, luminance, and texture) to identify degradations and estimate quality. For example, texture-based BIQA methods...
Frauds involving illegal modifications to the printed circuit boards from fuel pump controllers are a serious problem, which not only harms customers, but also connects to other crimes, such as money laundering and tax evasion. The current state-of-practice for inspecting these boards is a visual analysis performed by a human. In this paper, we introduce an image-based approach that can provide support...
The amount of data produced every day on the internet increases every day and with the increasing popularity of the social networks the number of published photos are huge, and those pictures contain several implicit or explicit brand logos. Detecting this logos in natural images can provide information about how widespread is a brand, discover unwanted copyright distribution, analyze marketing campaigns,...
The use of GPS-equipped devices has allowed generating and storing data related to massive amounts of moving objects, promoting many solutions to movement prediction problems. Movement prediction became essential to perform tasks in several areas ranging from analysis of the popularity of geographic regions; and management of traffic and transportation; to recommendations in location-based social...
In this work we propose an implementation approach to a feature-based algorithm that stitch images which comes form MicroScanner, a low cost digital microscope created at Mogai Information Technology. This program solve the trade-off problem between field of view and resolution. These codes were developed in C++ language, with help of OpenCV library. The sequence of pictures taken is used by the program...
The popularity of applications using Augmented Reality, especially due to the dissemination of smartphones with high processing power, introduces the need for Fiducial Markers that can be detected quickly, with good accuracy and can deal with partial occlusion. Fiducial Markers can have different shapes, sizes, structure and colors, and are inserted into a scene to facilitate the detection and consequent...
Geographic mapping of coffee crops by using remote sensing images and supervised classification has been a challenging research subject. Besides the intrinsic problems caused by the nature of multi-spectral information, coffee crops are non-seasonal and usually planted in mountains, which requires encoding and learning a huge diversity of patterns during the classifier training. In this paper, we...
Representing reality in computer graphics requires simulating the appearance of real-world materials. Bidirectional Reflectance Distribution Functions (BRDFs) are commonly used to perform this task, as they represent the appearance of a material through the quotient between the reflected radiance and the incoming irradiance at this point. Acquiring the BRDF of a real material is an expensive task...
Monocular Visual Odometry (MVO) estimates the camera position and orientation, based on images generated by a single camera. In this paper a new sparse MVO system for camera equipped vehicles is proposed. Three view cyclic Perspective-n-Point with adaptive threshold is used for camera pose estimation, perspective image transformations are used to improve tracking, and a multi-attribute cost function...
A digital image may contain objects that can be made up of multiple regions concerning different material properties, physical or chemical attributes. Thus, segmented simplicial meshes with non-manifold boundaries are generated to represent the partitioned regions. We focus on repairing non-manifold boundaries. Current methods modify the topology, geometry or both, using their own data structures...
In this paper, we propose a new approach for the classification of reaching targets before movement onset, during visually-guided reaching in 3D space. Our approach combines the discriminant power of two-dimensional Electroencephalography (EEG) signals (i.e., EEG images) built from short epochs, with the feature extraction and classification capabilities of deep learning (DL) techniques, such as the...
Biometrics, previously used only in human identification, can help experts in the analysis of biological images. Flies of the genus Drosophila have become model organisms by almost global presence and short life cycle. Facial recognition techniques and geometric morphometry can be used in image processing for classification. The latter requires human interaction. This work details a methodology based...
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