Sentence examples for object alignment from inspiring English sources
Working with two students over a period of eighteen months, he built AverageExplorer to speed up the otherwise time-consuming process of object alignment needed to create visually understandable results.
Figure 11 This figure shows examples of 3D object alignment with different error angles (denoted ε, see also Figure 10).
They usually operate on massive amount of data and require many upstream steps including object alignment, 3D-to-2D projections and normalization.
In conclusion, for the greatest part of the considered real life datasets, the proposed method guarantees competitive performance for a robust, fast, accurate and automated object alignment, consequently boosting the usability of high-end 3D scanners.
The multi-view framework allows object alignment under the most reasonable assumption that each new range image must possess an overlap with respect to any other previously aligned range data, thus weakening the requirement of having an overlap between each sequential pair of range images.
Obtained results show a high degree of robustness and reliability of the technique, and are relevant in terms of improving the usability and the handiness of modern 3D scanners by allowing interactive (on-the-fly) object alignment and therefore fast modeling.
(BWP1), including their own position (111), as well as objects' alignment towards cardinal directions as a new feature (113), e.g. " In a lot of places, north has become a feature of the place itself".
Instead, we restrict the search by considering few possibilities; in order to define the optimal pose of a given object, the alignment, which locally minimizes the visual-hull criterion (1), is taken as one of the three possible alignments obtained according to the following procedure.
Other bioinformatics objects included are an alignment object, a Sequence class with operations such as reverse-complementing, a feature object and a peak object for storing local extrema of numeric data.
Writing in the Aug. 16 issue of Nature, Mr. Rawlins and Mr. Pickering said that a correction of the error "points more strongly to a different pair of stars," Thuban and Draconis, as the objects for alignment measurements.
Hierarchical clustering analysis of the resulting matrix was carried by estimating the squared Euclidean distance between the different objects (gene alignment tree parameters), followed by agglomerative clustering with UPGMA (Unweighted Pair Group Method with Arithmetic Mean) method, using R statistical software with the gplots package (Warnes et al. 2009).
