Appearance-based 3-D face recognition from video
(2002) 24th Symposium of the German Pattern Recognition Association, DAGM 2002 In Lecture Notes in Computer Science 2449. p.566-574- Abstract
In this work we present an appearance-based 3-D Face Recognition approach that is able to recognize faces in video sequences, independent from face pose. For this we combine eigen light-fields with probabilistic propagation over time for evidence integration. Eigen light-fields allow us to build an appearance based 3-D model of an object; probabilistic methods for evidence integration are attractive in this context as they allow a systematic handling of uncertainty and an elegant way for fusing temporal information. Experiments demonstrate the effectiveness of our approach. We tested this approach successfully on more than 20 testing sequences, with 74 different individuals.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4190f9a2-b18d-4b5d-8689-33984124e04f
- author
- Krüger, Volker LU ; Gross, Ralph and Baker, Simon
- publishing date
- 2002-12-01
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Pattern Recognition : 24th DAGM Symposium Zurich, Switzerland, September 16–18, 2002 Proceedings - 24th DAGM Symposium Zurich, Switzerland, September 16–18, 2002 Proceedings
- series title
- Lecture Notes in Computer Science
- volume
- 2449
- pages
- 9 pages
- publisher
- Springer
- conference name
- 24th Symposium of the German Pattern Recognition Association, DAGM 2002
- conference location
- Zurich, Switzerland
- conference dates
- 2002-09-16 - 2002-09-18
- external identifiers
-
- scopus:84878550479
- ISSN
- 0302-9743
- 1611-3349
- ISBN
- 354044209X
- 9783540442097
- DOI
- 10.1007/3-540-45783-6_68
- language
- English
- LU publication?
- no
- id
- 4190f9a2-b18d-4b5d-8689-33984124e04f
- date added to LUP
- 2019-07-08 21:25:26
- date last changed
- 2024-01-01 15:54:20
@inproceedings{4190f9a2-b18d-4b5d-8689-33984124e04f, abstract = {{<p>In this work we present an appearance-based 3-D Face Recognition approach that is able to recognize faces in video sequences, independent from face pose. For this we combine eigen light-fields with probabilistic propagation over time for evidence integration. Eigen light-fields allow us to build an appearance based 3-D model of an object; probabilistic methods for evidence integration are attractive in this context as they allow a systematic handling of uncertainty and an elegant way for fusing temporal information. Experiments demonstrate the effectiveness of our approach. We tested this approach successfully on more than 20 testing sequences, with 74 different individuals.</p>}}, author = {{Krüger, Volker and Gross, Ralph and Baker, Simon}}, booktitle = {{Pattern Recognition : 24th DAGM Symposium Zurich, Switzerland, September 16–18, 2002 Proceedings}}, isbn = {{354044209X}}, issn = {{0302-9743}}, language = {{eng}}, month = {{12}}, pages = {{566--574}}, publisher = {{Springer}}, series = {{Lecture Notes in Computer Science}}, title = {{Appearance-based 3-D face recognition from video}}, url = {{http://dx.doi.org/10.1007/3-540-45783-6_68}}, doi = {{10.1007/3-540-45783-6_68}}, volume = {{2449}}, year = {{2002}}, }