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» Learning Hierarchical Models of Scenes, Objects, and Parts
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ICVS
2003
Springer
15 years 2 months ago
Navigating through Logic-Based Scene Models for High-Level Scene Interpretations
This paper explores high-level scene interpretation with logic-based conceptual models. The main interest is in aggregates which describe interesting co-occurrences of physical obj...
Bernd Neumann, Thomas Weiss
ACCV
2010
Springer
14 years 4 months ago
Continuous Surface-Point Distributions for 3D Object Pose Estimation and Recognition
We present a 3D, probabilistic object-surface model, along with mechanisms for probabilistically integrating unregistered 2.5D views into the model, and for segmenting model instan...
Renaud Detry, Justus H. Piater
CVPR
2009
IEEE
16 years 4 months ago
D - Clutter: Building object model library from unsupervised segmentation of cluttered scenes
Autonomous systems which learn and utilize a limited visual vocabulary have wide spread applications. Enabling such systems to segment a set of cluttered scenes into objects is ...
Chandra Kambhamettu, Dimitris N. Metaxas, Gowri So...
CVPR
2010
IEEE
15 years 6 months ago
Cascade Object Detection with Deformable Part Models
We describe a general method for building cascade classifiers from part-based deformable models such as pictorial structures. We focus primarily on the case of star-structured mod...
Pedro Felzenszwalb, Ross Girshick, David McAlleste...
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ICCV
2009
IEEE
16 years 2 months ago
Multiscale Symmetric Part Detection and Grouping
Skeletonization algorithms typically decompose an object’s silhouette into a set of symmetric parts, offering a powerful representation for shape categorization. However, havi...
Alex Levinshtein, Sven Dickinson, Cristian Sminchi...