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» A Large Dataset of Object Scans
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ECCV
2008
Springer
14 years 6 months ago
Object Detection from Large-Scale 3D Datasets Using Bottom-Up and Top-Down Descriptors
We propose an approach for detecting objects in large-scale range datasets that combines bottom-up and top-down processes. In the bottom-up stage, fast-to-compute local descriptors...
Alexander Patterson, Philippos Mordohai, Kostas Da...
ICDE
1999
IEEE
139views Database» more  ICDE 1999»
14 years 6 months ago
Clustering Large Datasets in Arbitrary Metric Spaces
Clustering partitions a collection of objects into groups called clusters, such that similar objects fall into the same group. Similarity between objects is defined by a distance ...
Venkatesh Ganti, Raghu Ramakrishnan, Johannes Gehr...
SIGGRAPH
2000
ACM
13 years 9 months ago
The digital Michelangelo project: 3D scanning of large statues
We describe a hardware and software system for digitizing the shape and color of large fragile objects under non-laboratory conditions. Our system employs laser triangulation rang...
Marc Levoy, Kari Pulli, Brian Curless, Szymon Rusi...
EUROMED
2010
13 years 2 months ago
Automated Processing of Data from 3D Scanning of Cultural Heritage Objects
Abstract. In this paper, the concept of computational environment for processing of very large datasets (clouds of points with amount up to 1011 measurement points) obtained from 3...
Robert Sitnik, Maciej Karaszewski
KDD
2006
ACM
142views Data Mining» more  KDD 2006»
14 years 5 months ago
Mining distance-based outliers from large databases in any metric space
Let R be a set of objects. An object o R is an outlier, if there exist less than k objects in R whose distances to o are at most r. The values of k, r, and the distance metric ar...
Yufei Tao, Xiaokui Xiao, Shuigeng Zhou