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This paper takes tomato fruits in actual production environments as the research object and conducts in-depth research on the three-dimensional reconstruction of multi-view images of tomato fruits. First, SIFT, FLANN and RANSAC algorithms are used for ...

Recent multi-view multimedia applications struggle between high-resolution (HR) visual experience and storage or bandwidth constraints. Therefore, this paper proposes a Multi-View Image Super-Resolution (MVISR) task. It aims to increase the resolution ...

The limited spatial and angular resolutions in multi-view multimedia applications restrict their visual experience in practical use. In this paper, we first argue the space-angle super-resolution (SASR) problem for irregular arranged multi-view images. ...

In this paper, we present an effective approach to reconstruct the bidirectional reflectance distribution function (BRDF) from a real object without any special devices and complex setups. Multi-view images are commonly used to reconstruct the three-...

In this paper, we present an interactive system for mechanism modeling from multi-view images. Its key feature is that the generated 3D mechanism models contain not only geometric shapes but also internal motion structures: they can be directly animated ...

This paper proposes a remote welding robot manipulation system by using multi-view images. After an operator specifies two-dimensional path on images, the system transforms it into three-dimensional path and displays the movement of the robot by ...

In this paper we present a new approach for modelling scenes with multiple 3D objects from images taken from various viewpoints. Such images are segmented using either supervised or unsupervised algorithms. We consider the mean-shift and support vector ...

This paper addresses the problem of distributed image coding in camera neworks. The correlation between multiple images of a scene captured from different viewpoints can be effiiciently modeled by local geometric transforms of prominent images features. ...

In the paper is presented one new method for multi-view object representation based on image decomposition with modified Inverse Difference Pyramid. The method offers new approach for efficient description of the multi-view images using one of them as a ...

In the paper is presented one new method for multi-view object representation based on image decomposition with Inverse Difference Pyramid. The method permits to obtain a very efficient description of the multi-view images using one of them as a ...

In order to extract foreground objects from dense multi-view images precisely and automatically, a level set evolution segmentation method without user interaction is proposed. Firstly, we make a statistical analysis of the straight lines in Epipolar ...

We show that distributed source coding of multi-view images in camera sensor networks (CSNs) using adaptive modules can come close to the Slepian-Wolf bound. In a systematic scenario with limited node abilities, work by Slepian and Wolf suggest that it ...