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Titlebook: Machine-based Intelligent Face Recognition; Dengpan Mou Book 2010Latest edition Springer-Verlag Berlin Heidelberg 2010 Face Recognition.HE

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樓主: 突然
11#
發(fā)表于 2025-3-23 12:32:55 | 只看該作者
State Machine Based Automatic Procedure,whole automatic and self-learning system. The major points are how to define different states and how to define their corresponding transitions. By utilizing the combined information such as video context, temporal information, and logic analysis, an efficient and stable state machine structure is p
12#
發(fā)表于 2025-3-23 17:56:44 | 只看該作者
System Implementation,troduction section, in section 2, the typical required hardware configuration is presented. Section 3 is regarding the software implementation, where two versions are designed for different demonstration purposes: online and offline versions. Technology dependent parameters which have to be consider
13#
發(fā)表于 2025-3-23 18:37:31 | 只看該作者
14#
發(fā)表于 2025-3-23 22:18:19 | 只看該作者
15#
發(fā)表于 2025-3-24 04:41:57 | 只看該作者
16#
發(fā)表于 2025-3-24 06:46:17 | 只看該作者
17#
發(fā)表于 2025-3-24 14:31:49 | 只看該作者
18#
發(fā)表于 2025-3-24 15:03:43 | 只看該作者
Combined Face Detection and Tracking Methods, definition of “search region” and the analysis of temporal change, the motion-based face detector can significantly benefit from the temporal context from video sequences. Summary and future research directions are the final parts of this chapter.
19#
發(fā)表于 2025-3-24 21:56:10 | 只看該作者
20#
發(fā)表于 2025-3-24 23:13:07 | 只看該作者
Conclusions and Future Directions, the system can deal with major challenging limitations in the state-of-the-art face recognition research: the aging problem, the difficulty of no better recognition quality in videos than in images, and the weakness of dealing with head pose variations.
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