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CHAINING APPROACH FOR 3-D OBJECT VOLUME RECONSTRUCTION

机译:3D对象体积重建的连锁方法

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摘要

From a gray level 2-D picture, objects recognition is possible within a scene. Beyond this major step, robotics, CAD and image synthesis, require, in addition to the vision, complementary data to satisfy information need, such as: 1. precise knowledge of objects surface and volume, in case robots can handle, gather and control their quality; 2. robot environment knowledge, enables to work and avoid obstacles while moving; 3. objects shape knowledge for CAD to ensure modelling, analysis and planes execution; 4. objects apparent points knowledge, useful for image synthesis and graphs. In this paper, a new method for 3-D object volume construction is proposed, using the chaining approach. The constructed 3-D object can be viewed on the screen using perspective or parallel projections under any viewpoint angles θ and φ A one-pixel precision is reached for recovered objects.
机译:从灰度二维图片中,可以在场景内识别对象。除了这一主要步骤,机器人,CAD和图像合成除了视觉之外,还需要补充数据来满足信息需求,例如:1.精确了解对象的表面和体积,以防机器人可以处理,收集和控制其物体质量; 2.机器人环境知识,使工作和移动时避免障碍; 3.对象塑造CAD的知识,以确保建模,分析和平面执行; 4.对象的表观知识点,对图像合成和图形很有用。在本文中,提出了一种使用链接方法构建3D对象体的新方法。可以在任何视点角度θ和φ下使用透视或平行投影在屏幕上查看构造的3-D对象。对于恢复的对象,可以达到一个像素的精度。

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