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This paper describes a fractal-based keypoint computation method for solid textures. Solid textures have been used for a number of years for various applications including medical imaging, geographical data analysis and biological data analysis. It is important to accurately compute pattern features from solid textures, because pattern features can be used for classifications, detections, and retrievals...
Higher order local autocorrelation (HLAC) features are used in various 2D image applications. Recent three dimensional extensions of HLAC features (3D HLAC) have made possible the analysis of solid textures including solid textures. Typically, 3D HLAC features are computed by a limited number of three dimensional mask patterns, and the order of the mask patterns is limited up to the second order....
This paper describes a similarity retrieval technique for textured 3D models. Various kinds of research have been conducted on similarity retrievals of 3D models since the late 1990's. Although most of the retrieval techniques focus on shape similarity of the 3D models, our technique allows users to retrieve and classify 3D models based on texture pattern similarity. To test our texture similarity...
This paper describes a way to generate mosaic image using a small lightweight UAV for effective remote sensing. Payload limits are the source of most error in small lightweight UAVs to generate accurate mosaic images. We have overcome inherent small lightweight UAV drawbacks by providing them with integration of a GPS receiver, inertial sensors, and an image sensor to generate a large mosaic image...
Text based pictures called text art are often used in Web pages, email text and so on. They delight us, but they can be noise for handling the text data. For example, they can be obstacle for text-to-speech software and natural language processing. Such problems will be solved by text art extraction methods which detects the area of text art in a given text data, and text art extraction methods can...
In this paper, we present a framework for 3D visual odometry applied to a hospital-use transfer robot equipped with an omni-drive system. The approach is based on features extracted out of and matched in monocular image sequences. We propose a new feature detection and tracking scheme robust to motion blur and well suitable in environment, as a hospital, where the local features are sparse and not...
We have been developing a humanoid robot that interacts with people through multimodal, long-term and continuous learning. Three approaches i) word acquisition, ii) self-modeling and iii) action-oriented perception will be introduced in this paper. In particular, we first describe the word acquisition from raw multimodal sensory stimulus by seeing given objects and listening to spoken utterance by...
This paper aims at extracting human region based on the multi-resolution expression of wavelet transform technique, and also creating transparent image of person based on bit-plane encoding technique, which both techniques are a constituent technology of JPEG2000. The purpose of using these techniques is to reduce the computational cost and data transfer bit rate. We developed the privacy conscious...
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