We present an approach for object recognition that com- bines detection and segmentation within a efficient hypoth- esize/test framework.
We present an approach for object recognition that combines detection and segmentation within a efficient hypothesize/test framework.
We present an approach for object recognition that combines detection and segmentation within a efficient hypothesize/test framework.
Using Segmentation to Verify Object Hypotheses - IEEE Computer Society
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We present an approach for object recognition that combines detection and segmentation within a efficient hypothesize/test framework.
An approach for object recognition that combines detection and segmentation within a efficient hypothesize/test framework that leads to significant ...
We present an approach for object recognition that com- bines detection and segmentation within a efficient hypoth- esize/test framework.
We present an algorithm that recognizes objects of a given category using a small number of hand segmented images as references.
We use simple pushing movements to verify the initial object hypotheses and to extend them to features that move coherently with the initial features. The ...
In contrast to learning, we adopt segmentation as selective search to generate class independent object hypotheses. 2.1. Exhaustive Search for Recognition. As ...
Bibliographic details on Using Segmentation to Verify Object Hypotheses.