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The paper proposes an adaptive classification mechanism designed for structured light system to improve quality of reconstructed models. We observed that the conventional albedo-based thresholding fails when the lighting condition is not carefully considered. To address this problem, an adaptive model is proposed. The core idea is to adjust decision boundary during extraction of sequence of binary-coded...
Recent advancements of 3D computer graphics hardware systems have made possible the handling of 3D volumetric data, and the amount of the available data has increased for various scientific fields. This paper proposes a pattern feature extraction method for 3D volumetric data. Pattern features are important for systems which require segmentation and classification. In this paper, the laws texture...
In this paper, we present a geodesic discriminant analysis (GDA) algorithm, which generalize linear discriminant analysis (LDA) in linear manifold space to curved Riemannian manifold space, with the aid of Riemannian logarithmic map. Compared with LDA, GDA is more suitable to deal with data that lie on curved manifold. We show that GDA is the generalization of LDA, and LDA is the special case of GDA:...
Nowadays, the carpet quality analysis is determined in industry by human experts, because the automated assessment is not capable of matching the human expertise. Therefore, the carpet company demands a reliable and economic standardization of carpet wear level. This paper presents a new strategy for analyzing and classifying the texture of the wear carpet surface of 3D image, where 3D image is produced...
The methods presented in this paper aim at detecting and recognizing players on a sport-field, based on a distributed set of loosely synchronized cameras. Detection assumes player verticality, and sums the cumulative projection of the multiple views' foreground activity masks on a set of planes that are parallel to the ground plane. After summation, large projection values indicate the position of...
The Scale Invariant Feature Transform, SIFT, is invariant to image translation, scaling, rotation, and is partially invariant to illumination changes. But, the time of features extraction and matching is huge, and the number of features is much larger then that is needed. To reduce the number of features generated by SIFT as well as their extraction and matching time, a modified approach based sampling...
In this article, we present an approach for the automated extraction of quantitative information about trichome patterning on leaves of Arabidopsis thaliana. Time series of growing rosette leaves (4D confocal datasets, 3D + time) are used for this work. At first, significant anatomical structures, i.e. leaf surface and midplane are extracted robustly. Using the extracted anatomical structures, a biological...
A local maximum intensity projection (MIP) approach to the extraction of a 3D vascular network, acquired by the Knife-Edge Scanning Microscope (KESM), is presented. We build a local volume for local MIP processing at each tracing step in order to reduce the dimension of input data from 3D to 2D, which leads to a 65.22% reduction of computation time compared to 3D tracing method. The proposed method...
In this work, we have looked into the problem of urban analysis using airborne LiDAR data based on the strategy of classification by segmentation. Segmentation is a key and hard step in the processing of 3D point clouds, which is not perfectly solved in view of different applications. A new 3d segmentation method incorporating the advantages of nonparametric and spectral graph clustering is presented...
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