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MVA
2007
133views Computer Vision» more  MVA 2007»
13 years 6 months ago
Selection of Object Recognition Methods According to the Task and Object Category
Service robots need object recognition strategy that can work on various objects in complex backgrounds. Since no single method can work in every situation, we need to combine sev...
Al Mansur, Yoshinori Kuno
ICIP
2009
IEEE
14 years 6 months ago
Learning Contextual Rules For Priming Object Categories In Images
In this paper we introduce and exploit the concept of contextual rules in the field of object detection. These rules are defined as associations between different object likelihoo...
CTCS
1995
Springer
13 years 8 months ago
A Proposed Categorical Semantics for ML Modules
We present a simple categorical semantics for ML signatures, structures and functors. Our approach relies on realizablity semantics in the category of assemblies. Signatures and s...
Michael P. Fourman, Hayo Thielecke
CVPR
2008
IEEE
14 years 7 months ago
Combining appearance models and Markov Random Fields for category level object segmentation
Object models based on bag-of-words representations can achieve state-of-the-art performance for image classification and object localization tasks. However, as they consider obje...
Diane Larlus, Frédéric Jurie
ACCV
2010
Springer
12 years 12 months ago
On the Use of Implicit Shape Models for Recognition of Object Categories in 3D Data
The ability of recognizing object categories in 3D data is still an underdeveloped topic. This paper investigates on adopting Implicit Shape Models (ISMs) for 3D categorization, th...
Samuele Salti, Federico Tombari, Luigi di Stefano