当前位置: X-MOL 学术Comput. Graph. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Radial intersection count image: a clutter resistant 3D shape descriptor
Computers & Graphics ( IF 2.5 ) Pub Date : 2020-10-01 , DOI: 10.1016/j.cag.2020.07.007
Bart Iver van Blokland , Theoharis Theoharis

Abstract A novel shape descriptor for cluttered scenes is presented, the Radial Intersection Count Image (RICI), and is shown to significantly outperform the classic Spin Image (SI) and 3D Shape Context (3DSC) in both uncluttered and, more significantly, cluttered scenes. It is also faster to compute and compare. The clutter resistance of the RICI is mainly due to the design of a novel distance function, capable of disregarding clutter to a great extent. As opposed to the SI and 3DSC, which both count point samples, the RICI uses intersection counts with the mesh surface, and is therefore noise-free. For efficient RICI construction, novel algorithms of general interest were developed. These include an efficient circle-triangle intersection algorithm and an algorithm for projecting a point into SI-like (α, β) coordinates. The ’clutterbox experiment’ is also introduced as a better way of evaluating descriptors’ response to clutter. The SI, 3DSC, and RICI are evaluated in this framework and the advantage of the RICI is clearly demonstrated.

中文翻译:

径向交叉点计数图像:抗杂波的 3D 形状描述符

摘要 提出了一种用于杂乱场景的新颖形状描述符,即径向交点计数图像 (RICI),并且在杂乱场景和更显着的杂乱场景中均显示出显着优于经典的自旋图像 (SI) 和 3D 形状上下文 (3DSC) . 计算和比较也更快。RICI 的抗杂波性主要是由于设计了一种新颖的距离函数,能够在很大程度上无视杂波。与 SI 和 3DSC 两种计数点采样相反,RICI 使用与网格表面的交点计数,因此是无噪声的。为了有效的 RICI 构建,开发了普遍感兴趣的新算法。其中包括高效的圆三角形相交算法和将点投影到类似 SI 的 (α, β) 坐标中的算法。还引入了“杂波箱实验”作为评估描述符对杂波的响应的更好方法。SI、3DSC 和 RICI 在此框架中进行评估,并清楚地展示了 RICI 的优势。
更新日期:2020-10-01
down
wechat
bug