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ECCV
2008
Springer
16 years 5 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...
144
Voted
ICPR
2008
IEEE
15 years 10 months ago
3D object recognition by fast spherical correlation between combined view EGIs and PFT
This paper proposes a method to recognize 3D object from probed range image under arbitrary pose by fast spherical correlation. First, all view EGIs under different viewpoints are...
Donghui Wang, Hui Qian
164
Voted
ECCV
2010
Springer
15 years 8 months ago
Dynamic Color Flow: A Motion-Adaptive Color Model for Object Segmentation in Video
Accurately modeling object colors, and features in general, plays a critical role in video segmentation and analysis. Commonly used color models, such as global Gaussian mixtures, ...
ECCV
2010
Springer
15 years 8 months ago
From a Set of Shapes to Object Discovery
Abstract. This paper presents an approach to object discovery in a given unlabeled image set, based on mining repetitive spatial configurations of image contours. Contours that si...
155
Voted
FODO
1998
Springer
214views Algorithms» more  FODO 1998»
15 years 7 months ago
Querying Composite Objects in Semistructured Data
In this paper, we propose an entity-based style of queries for semistructured data. First, we partition a semistructured data into subgraphs corresponding to real-world entities, ...
Keishi Tajima