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A simple non-photorealistic rendering (NPR) technique is presented for creating pointillistic and mosaic images with color arrangement resembling the impressionist paintings. An input image is partitioned into rectangular tiles which are grouped into blocks. The color of tiles is changed to ones maximally far apart from each other while their local average approximates the color of the input image...
This paper introduces a novel method to automatically generate camera animation for scenes with objects in motion. A means of bounding the scene is first discussed, in order to provide a restricted surface for the camera to move along. Methods for generating static views of a scene are then developed, based on prior literature in the field of optimal camera views. Methods for producing smooth animations...
Most character motion capture data does not contain secondary motions like detailed hand motion, therefore the resultant animation looks unnatural due to the stiffness of hand motion. In this paper, we analyzed the pose space distance from the character’s motion capture data and used stepwise searching algorithm to find the key poses for hand motion synthesis. We adaptively changed the contrast of...
Traditionally, B-rep geometric kernels possess oriented data structures, i.e. they possess oriented cells (e.g. half-edges, co-edges, face uses, etc.). The use of explicit oriented cells makes these data structures quite verbose and expensive in terms of memory space. Although orientation is important for visualization and engineering analysis purposes, it gives rise to difficult issues at the representation...
This paper identifies the total number of gaps of object pixels in a binary picture, which solves an open problem in 2D digital geometry (or combinatorial topology of binary pictures). We obtain a formula for the total number of gaps as a function of the number of object pixels (grid squares), vertices (corners of grid squares), holes, connected components, and 2 × 2 squares of pixels. It can be used...
We introduce a novel approach to video compression which is suitable for traditional outline-based cartoon animations. In this case the dynamic foreground consists of several homogeneous regions and the background is static textural image. For this drawing style we show how to recover hybrid representation where the background is stored as a single bitmap and the foreground as a sequence of vector...
This paper presents a retinal image registration approach for National Institute of Health (NIH)’s Early Treatment Diabetic Retinopathy Study (ETDRS) standard. The ETDRS imaging protocol specifies seven fields of each retina and presents several major challenges for image registration. The proposed method effectively combines both area-based and feature-based methods in three steps. First, the vascular...
Magnetic resonance angiography (MRA) produces 3D data visualizing vascular structures by detecting the flowing blood signal. While segmentation methods generally detect vessels by only processing MRA, the proposed method uses both MRA and non-angiographic (MRI) images. It is based on the assumption that MRI provides anatomical information useful for vessel detection. This supplementary information...
The central path of the colon is an important tool in computer-assisted diagnosis: it is an aid to navigation during a virtual colonoscopy and allows an easier follow-up of the patient pathologies. However the computation of this central path remains a difficult task: on both MR and CT medical images, the wall of the colon is too thin with respect to the resolution of the acquisition and thus does...
In this paper, we present a new Multiscale segmentation method based on an optical transfer function implemented in the Frequency domain and with this new segmentation technique, we demonstrate that it is possible to segment the HRCT (High Resolution CT) images into its various components at multiple scales hence separating the information available in the HRCT image. In the literature, several image...
The diffusion tensor tractography has drawbacks such as low objectivity by interactive ROI setting and fiber-crossing. For coping with such problems, we are constructing a statistical atlas of white matter fiber tracts, in which probability density maps of tract structures are stored with diffusion tensor parameters on spatially normalized brain data. In building the atlas, our fiber tract modeling...
Watershed transform has been widely used in medical image segmentation. One fundamental problem with it is over-segmentation. There are mainly two approaches to deal with this problem: hierarchical segmentation and segmentation with markers. The markers, either automatically extracted or interactively generated, are mostly used in the homotopy modification of morphological gradients prior to the watershed...
In this work a learning technique to provide an Ambient Intelligence (smart space) system with the capacity of predicting variation events in its own internal state is presented. The system and the interacting users are modeled through the instantaneous state vectors obtained as output of two trained Self Organizing Map-based classifiers. The information processed by the system is collected by two...
This paper presents a novel and effective Bayesian belief network that integrates object segmentation and recognition. The network consists of three latent variables that represent the local features, the recognition hypothesis, and the segmentation hypothesis. The probabilities are the result of approximate inference based on stochastic simulations with Gibbs sampling, and can be calculated for large...
This paper presents the visual surveillance aspects of a distributed intelligent system that has been developed in the context of aircraft activity monitoring. The overall tracking system comprises three main modules — Motion Detection, Object Tracking and Data Fusion. In this paper we primarily focus on the object tracking and data fusion modules.
The Ambient Intelligence (AmI) paradigm requires a robust interpretation of people actions and behaviour and a way for automatically generating persistent spatial-temporal models of recurring events. This paper describes a relatively inexpensive technique that does not require the use of conventional trackers to identify the main paths of highly cluttered scenes, approximating them with spline curves...
An effective human-robot interaction is essential for wide penetration of service robots into the market. Such robots need vision systems to recognize objects. It is, however, difficult to realize vision systems that can work in various conditions. More robust techniques of object recognition and image segmentation are essential. Thus, we have proposed to use the human user’s assistance for objects...
We present a new hierarchical graph representation for volume data as well as its associated operations to enable interactive feature segmentation for high-resolution volume data. Our method constructs a low-resolution graph which represents a coarser resolution of the data. This graph enables the user to interactively sample and edit a feature of interest by drawing strokes on data slices. A subgraph...
This paper presents a new method for projecting a mesh model of a source object onto a surface of an arbitrary target object. A deformable model, called Self-organizing Deformable Model(SDM), is deformed so that the shape of the model is fitted to the target object. We introduce an idea of combining a competitive learning and an energy minimization into the SDM deformation. Our method is a powerful...
We present a new method for deforming an object in a static real scene, which interacts with animated synthetic characters. Unlike the existing method – making a new synthetic object to substitute for the interacting object in the real scene, we directly deform the object in image space using an image-warping technique with assistance from a simplified 3D sub-model. The deformed image sequence is...
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