SHREC'13 Track: Large-Scale Partial Shape Retrieval Using Simulated Range Images

Sipiran, Ivan; Meruane, R.; Bustos, Benjamín; Schreck, Tobias; Johan, Henry; Li, B.; Lu, Yijuan

doi:10.2312/3dor/3dor13/081-088

Cited by 7 publications

(1 citation statement)

References 9 publications

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“…While the dataset contains a variety of query objects, their quantity is limited, and is therefore augmented. The used augmentation is similar to the one used in the SHREC'13 track for partial object retrieval [50]; a first partial query set is created by generating meshes of all triangles in view from a random viewpoint. We used this to create one partial query mesh for each object in the SHREC'16 dataset, thereby creating 383 query objects.…”

Section: Shrec'16 Dataset Augmentationmentioning

confidence: 99%

Partial 3D Object Retrieval using Local Binary QUICCI Descriptors and Dissimilarity Tree Indexing

van Blokland,

Theoharis

2021

Preprint

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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.

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Section: Shrec'16 Dataset Augmentationmentioning

confidence: 99%