A complete pipeline is presented for accurate and efficient partial 3D object retrieval based on Quick Intersection Count Change Image (QUICCI) binary local descriptors and a novel indexing tree. It is shown how a modification to the QUICCI query descriptor makes it ideal for partial retrieval. An indexing structure called Dissimilarity Tree is proposed which can significantly accelerate searching the large space of local descriptors; this is applicable to QUICCI and other binary descriptors. The index exploits the distribution of bits within descriptors for efficient retrieval. The retrieval pipeline is tested on the artificial part of SHREC’16 dataset with near-ideal retrieval results.

基于快速交叉点计数变化图像 (QUICCI) 二元局部描述符和新型索引树，提出了一个完整的管道，用于准确高效的部分 3D 对象检索。展示了对 QUICCI 查询描述符的修改如何使其成为部分检索的理想选择。提出了一种名为Dissimilarity Tree的索引结构，可以显着加快对大空间局部描述符的搜索；这适用于 QUICCI 和其他二进制描述符。该索引利用描述符内的比特分布来进行有效检索。检索管道在 SHREC'16 数据集的人工部分进行了测试，检索结果接近理想。