Academic Journal
Human Pose Estimation Using Learnt Probabilistic Region Similarities and Partial Configurations
| العنوان: | Human Pose Estimation Using Learnt Probabilistic Region Similarities and Partial Configurations |
|---|---|
| المؤلفون: | Eccv Preprint, Timothy J. Roberts, Stephen J. McKenna, Ian W. Ricketts |
| المساهمون: | The Pennsylvania State University CiteSeerX Archives |
| المصدر: | http://www.computing.dundee.ac.uk/staff/stephen/eccv2004.pdf. |
| سنة النشر: | 2004 |
| المجموعة: | CiteSeerX |
| الوصف: | A model of human appearance is presented for efficient pose estimation from real-world images. In common with related approaches, a high-level model defines a space of configurations which can be associated with image measurements and thus scored. A search is performed to identify good configuration (s). Such an approach is challenging because the configuration space is high dimensional, the search is global, and the appearance of humans in images is complex due to background clutter, shape uncertainty and texture. |
| نوع الوثيقة: | text |
| وصف الملف: | application/pdf |
| اللغة: | English |
| Relation: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.58.5236; http://www.computing.dundee.ac.uk/staff/stephen/eccv2004.pdf |
| الاتاحة: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.58.5236 http://www.computing.dundee.ac.uk/staff/stephen/eccv2004.pdf |
| Rights: | Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
| رقم الانضمام: | edsbas.66F0AC90 |
| قاعدة البيانات: | BASE |
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