Detection of Frontal Faces in Video Streams

Castrillón-Santana, Modesto; Lorenzo-Navarro, Javier; Cabrera‐Gámez, Jorge; Hernández-Tejera, Mario; Rodriguez, J.M.C.

doi:10.1007/3-540-47917-1_10

Cited by 5 publications

(3 citation statements)

References 18 publications

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“…These tests are based on contextual knowledge about face geometry, appearance and temporal coherence in order to validate or refuse the hypothesis that eye positions recovered are coherent for a frontal view. The procedure is briefly described as follows, (a more detailed explanation is available in [20] Color Blob Detection and Ellipse Aproximation: Normalized red and green color space is used for face detection. Blobs classified as skin coloured are fitted to a general ellipse using the technique described in [21].…”

Section: Face Detection Module: Encaramentioning

confidence: 99%

CASIMIRO: a robot head for human-computer interaction

Deniz¹,

Castrillón²,

Lorenzo³

et al.

Proceedings. 11th IEEE International Workshop on Robot and Human Interactive Communication

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The physical appearance and behavior of a robot is an important asset in terms of Human-Computer Interaction. Multimodality is also fundamental, as we humans usually expect to interact in a natural way with voice, gestures, etc. People approach complex interaction devices with stances similar to those used in their interaction with other people. In this paper we describe a robot head, currently under development, that aims to be a multimodal (vision, voice, gestures,...) perceptual user interface. Modules are described for face detection, tracking, facial movement, action selection and sound localization. Preliminary results indicate that the robot head can potentially achieve the goals we are interested in, namely human interaction and assistance.

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Section: Face Detection Module: Encaramentioning

confidence: 99%

CASIMIRO: a robot head for human-computer interaction

Deniz¹,

Castrillón²,

Lorenzo³

et al.

Proceedings. 11th IEEE International Workshop on Robot and Human Interactive Communication

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“…The real-time face detector, see [8] for more details, combines different techniques providing robust performance in different conditions and environments. An initial detection is obtained by means of window shift detectors [27,16].…”

Section: Automatic Face Detectionmentioning

confidence: 99%

Face Recognition from a Tabula Rasa Perspective

Castrillón-Santana

Deniz

Lorenzo-Navarro

et al.

7th International Conference on Automatic Face and Gesture Recognition (FGR06)

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“…For that purpose we employ The detector, see [5] for more details, makes use for the first detection or after a failure, of two window shift detectors which provide acceptable processing rates. These brute force detectors are based on the general object detection framework by Viola and Jones [27].…”

Section: Real-time Face Detectionmentioning

confidence: 99%