Description: This method entails a machine learning approach for visual object detection, which is capable of processing images extremely rapidly and achieving high detection rates. -This method entails a machine learning app Roach for visual object detection, which is capable of processing images extremel y rapidly and achieving high detection rates. Platform: |
Size: 7621 |
Author:肖雪 |
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Description: This method entails a machine learning approach for visual object detection, which is capable of processing images extremely rapidly and achieving high detection rates. -This method entails a machine learning app Roach for visual object detection, which is capable of processing images extremel y rapidly and achieving high detection rates. Platform: |
Size: 7168 |
Author:肖雪 |
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Description: Abstract
We present a component-based, trainable system for detecting
frontal and near-frontal views of faces in still gray
images. The system consists of a two-level hierarchy of Support
Vector Machine (SVM) classifiers. On the first level,
component classifiers independently detect components of
a face. On the second level, a single classifier checks if the
geometrical configuration of the detected components in the
image matches a geometrical model of a face. We propose
a method for automatically learning components by using
3-D head models. This approach has the advantage that
no manual interaction is required for choosing and extracting
components. Experiments show that the componentbased
system is significantly more robust against rotations
in depth than a comparable system trained on whole face
patterns. Platform: |
Size: 349184 |
Author:a |
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Description: 检测并标识人脸的代码，可用于人脸检测，机器学习-To detect and identify the human face of code that can be used face detection, machine learning Platform: |
Size: 3072 |
Author:孔祥山 |
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Search - machine learning face detect