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» Novel image feature alphabets for object recognition
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ICIAP
1999
ACM
15 years 10 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»
15 years 6 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»
16 years 1 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
15 years 5 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 10 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...