Estimation of minimum volume of bounding box for geometrical metrology
نویسندگان
چکیده
منابع مشابه
Approximating the Minimum Volume Bounding Box of a Point Set
Isn’t it an artificial, sterilized, didactically pruned world, a mere sham world in which you cravenly vegetate, a world without vices, without passions without hunger, without sap and salt, a world without family, without mothers, without children, almost without women? The instinctual life is tamed by meditation. For generations you have left to others dangerous, daring, and responsible thing...
متن کاملChapter 20 Approximating the Minimum Volume Bounding Box of a Point Set
Isn’t it an artificial, sterilized, didactically pruned world, a mere sham world in which you cravenly vegetate, a world without vices, without passions without hunger, without sap and salt, a world without family, without mothers, without children, almost without women? The instinctual life is tamed by meditation. For generations you have left to others dangerous, daring, and responsible thing...
متن کاملChapter 19 Approximating the Minimum Volume Bounding Box of a Point Set
Isn’t it an artificial, sterilized, didactically pruned world, a mere sham world in which you cravenly vegetate, a world without vices, without passions without hunger, without sap and salt, a world without family, without mothers, without children, almost without women? The instinctual life is tamed by meditation. For generations you have left to others dangerous, daring, and responsible thing...
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The sliding window approach is the most widely used technique to detect an object from an image. In the past few years, classifiers have been improved in many ways to increase the scanning speed. Apart from the classifier design (such as cascade), the scanning speed also depends on number of different factors (such as grid spacing, and scale at which the image is searched). When the scanning gr...
متن کاملPointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation
We present PointFusion, a generic 3D object detection method that leverages both image and 3D point cloud information. Unlike existing methods that either use multistage pipelines or hold sensor and dataset-specific assumptions, PointFusion is conceptually simple and applicationagnostic. The image data and the raw point cloud data are independently processed by a CNN and a PointNet architecture...
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ژورنال
عنوان ژورنال: International Journal of Metrology and Quality Engineering
سال: 2020
ISSN: 2107-6847
DOI: 10.1051/ijmqe/2020007