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» Novel image feature alphabets for object recognition
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ICIAP
1999
ACM
15 years 2 months ago
Multiresolution Object-of-Interest Detection for Images with Low Depth of Field
This paper describes a novel multiresolution image segmentation algorithm for separating sharply focused objects-of-interest from other foreground or background objects in low dep...
Jia Li, James Ze Wang, Robert M. Gray, Gio Wiederh...
IJCV
2007
196views more  IJCV 2007»
14 years 10 months ago
Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition
We investigate a method for learning object categories in a weakly supervised manner. Given a set of images known to contain the target category from a similar viewpoint, learning...
Robert Fergus, Pietro Perona, Andrew Zisserman
IROS
2009
IEEE
183views Robotics» more  IROS 2009»
15 years 4 months ago
Image based visual servoing using algebraic curves applied to shape alignment
— Visual servoing schemes generally employ various image features (points, lines, moments etc.) in their control formulation. This paper presents a novel method for using boundar...
Ahmet Yasin Yazicioglu, Berk Calli, Mustafa Unel
ICPR
2010
IEEE
14 years 9 months ago
2LDA: Segmentation for Recognition
Abstract—Following the trend of “segmentation for recognition”, we present 2LDA, a novel generative model to automatically segment an image in 2 segments, background and fore...
Alessandro Perina, Marco Cristani, Vittorio Murino
CVPR
2004
IEEE
15 years 1 months ago
Parts-Based 3D Object Classification
This paper presents a parts-based method for classifying scenes of 3D objects into a set of pre-determined object classes. Working at the part level, as opposed to the whole objec...
Daniel F. Huber, Anuj Kapuria, Raghavendra Donamuk...