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» Learning 3-D object orientation from images
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66
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ICIP
2009
IEEE
15 years 11 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...
DICTA
2009
14 years 11 months ago
SIFTing the Relevant from the Irrelevant: Automatically Detecting Objects in Training Images
Many state-of-the-art object recognition systems rely on identifying the location of objects in images, in order to better learn its visual attributes. In this paper, we propose fo...
Edmond Zhang, Michael Mayo
AAI
2010
195views more  AAI 2010»
14 years 7 months ago
Automatic Extraction of Go Game Positions from Images: a Multi-Strategical Approach to Constrained Multi-Object Recognition
Here, we present a constrained object recognition task that has been robustly solved largely with simple machine learning methods, using a small corpus of about 100 images taken u...
Alexander K. Seewald
ICPR
2004
IEEE
15 years 11 months ago
Parallelizing Motion Segmentation by Perceptual Organization of XYT
The front end of many motion analysis algorithms is usually a process that generates bounding boxes around each moving object, roughly segmenting the objects from the background. ...
Daniel Majchrzak, Sudeep Sarkar
73
Voted
BIBE
2000
IEEE
15 years 2 months ago
Reconstructing Specimens using DIC Microscope Images
—Differential interference contrast (DIC) microscopy is a powerful visualization tool used to study live biological cells. Its use, however, has been limited to qualitative obser...
Farhana Kagalwala, Takeo Kanade