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We propose a method for precise point-based see-through visualization in which feature regions are highlighted. And by using this method we can recognize the 3D structures of the cultural heritage clearly. The recent rapid development of laser scanners has enabled the precise measurement of real cultural heritage objects. In the measurement, we acquire a point cloud consisting of a large scale of...
The paper is devoted to modeling of single-layer garments as developable median surfaces, modeled in the form of a thin supple shell. The products are modeled in Maple 9.5 and Embarcadero RAD Studio. The modelling of conical skirts considering seams is performed to demonstrate the space form of garments in the gravity field of elastic materials. Also the product aeroman is modelled which brings the...
This paper presents a new discriminative learning framework to associate the relationship between the objects and the words in an image and perform template matching scheme for complex association patterns. The problem is first formulated as a bipartite graph matching problem. Thereafter, structural support vector machine (SVM) is employed to obtain the optimal compatibility function to encode the...
This paper sets out and presents a new approach to determine the stroke volume of the artificial ventricle. The stroke volume of the chamber is one of the basic heart function parameters. For the artificial heart assist purpose, in the study this value is calculated based on the mapped shape of the flaccid membrane of the extracorporeal pneumatic heart assist pump. This is a continuation of the earlier...
In general, Multiobjective Optimization Problems (MOPs) with conflicting objectives requires a Decision Maker to select a solution from a set of alternatives in the Pareto Front. A visual approach is a valuable alternative to analyze the several options that may exist. Thus, to support the visual analysis, this work proposes to combine a clustering method based on the shape of the solutions together...
Puffy is a learning and playful robotic companion for pre-school children. Designed in cooperation with a team of educators and inspired by Disney's Baymax, Puffy has a combination of features which makes it unique with respect to existing robots used in educational contexts. It is mobile and has an egg-shaped inflatable and soft body; it supports multimodal interaction, reacting to children's gestures...
Every language has different characteristics, one of which is how to pronounce the language. Pronunciation accompanied by emotional expression are increasingly making different characteristics. This research proposes the establishment of natural Indonesian viseme order influenced by the expression of emotion. This system converts the text input of an Indonesian sentence into a sequence Indonesian...
Fluid dynamics simulation is often repeated while changing conditions, and therefore we need to compare a large amount of results. In order to compare results under different conditions, it is effective to overlap the streamlines generated from each condition in a single 3D space. Streamline is a curved line which represents a wind flow. This paper presents a technique to automatically select and...
Finding what is and what is not a salient object can be helpful in developing better features and models in salient object detection (SOD). In this paper, we investigate the images that are selected and discarded in constructing a new SOD dataset and find that many similar candidates, complex shape and low objectness are three main attributes of many non-salient objects. Moreover, objects may have...
Retrieving 3D shapes with sketches is a challenging problem since 2D sketches and 3D shapes are from two heterogeneous domains, which results in large discrepancy between them. In this paper, we propose to learn barycenters of 2D projections of 3D shapes for sketch-based 3D shape retrieval. Specifically, we first use two deep convolutional neural networks (CNNs) to extract deep features of sketches...
We present a learning framework for abstracting complex shapes by learning to assemble objects using 3D volumetric primitives. In addition to generating simple and geometrically interpretable explanations of 3D objects, our framework also allows us to automatically discover and exploit consistent structure in the data. We demonstrate that using our method allows predicting shape representations which...
For machines to interact with the physical world, they must understand the physical properties of objects and materials they encounter. We use fabrics as an example of a deformable material with a rich set of mechanical properties. A thin flexible fabric, when draped, tends to look different from a heavy stiff fabric. It also feels different when touched. Using a collection of 118 fabric samples,...
Social media has now become a pervasive global communication channel. Many applications and platforms have become available for users to post messages, follow friends and share experiences. Due to the high frequency with which users update their states, a large amount of data is being generated around the world every second. By analyzing this data, valuable patterns can be extracted such as the distribution...
Statistical decomposition methods are of paramount importance in discovering the modes of variations of visual data. Probably the most prominent linear decomposition method is the Principal Component Analysis (PCA), which discovers a single mode of variation in the data. However, in practice, visual data exhibit several modes of variations. For instance, the appearance of faces varies in identity,...
When building artificial intelligence systems that can reason and answer questions about visual data, we need diagnostic tests to analyze our progress and discover short-comings. Existing benchmarks for visual question answering can help, but have strong biases that models can exploit to correctly answer questions without reasoning. They also conflate multiple sources of error, making it hard to pinpoint...
There are a mass of design decisions within the design process, including the reasoning of design and the evolution of the conception, or undiscovered relevance between sketches/diagrams. If we don't realize the process of design by analysis of results further, the designer will not learn from experience and will not avoid the same mistake. This study through diagram following the linkography method,...
Recently, object recognition techniques have been rapidly developed. Most of existing object recognition focused on recognizing several independent concepts. The relationship of objects is also an important problem, which shows in-depth semantic information of images. In this work, toward general visual relationship detection, we propose a method to integrate spatial distribution of object to facilitate...
Robotic graspable object recognition is a crucial ingredient in many exciting autonomous manipulation applications. However, identifying complex image features from limited data remains largely unsolved. In this paper, we leverage the advantages of two kinds of feature representation approaches, kernel descriptors and deep neural networks, to present a novel hierarchical feature learning framework...
Augmented feedback has been shown to improve interaction in virtual environments and to facilitate motor learning. Recent studies proposed this type of feedback to guide users, to highlight specific areas or to help them to perform a specific task. They can follow a path, pass through specific waypoints or even mimic an avatar. However these approaches do not show the gap between learners' performance...
Playing building blocks has good features such as growing up children's intellect and finger manipulation abilities. To enhance good features in playing with building blocks, various mechatronic toys inspired by building block have been developed and released. We have developed mechatro-tsumiki, a kind of building blocks made of cube shape wood materials in which a mechatronics system is embedded...
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