C.-C Han, H.-Y. M. Liao, K.-C. Yu, L.-H. Chen, Fast face detection via morphology-based pre-processing, In Proceedings of the Ninth International Conference on Image Analysis and Processing, 1998, pp. 469-476. Home/Search Document Details and Download
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Face Detection and Recognition in an Image Sequence .. - Venkatesh.. (Correct)
.... model of mutual distance between facial features are used to locate face in the image [4] Markov Random Fields have been used to model the spatial distribution of the grey level intensities of face images [1] Some of the eye location technique use infrared lighting to detect eye pupil [2]. Eye location using genetic algorithm has been proposed by Wechsler [3] Skin color is used extensively to segment the image, and localize the search for face [13, 12] The detection of face using skin color fails when the source of lighting is not natural. In this paper, motion information is ....
C.-C. Han, H.-Y. M. Liao, G.-J. Yu, and L.-H. Chen. Fast face detection via morphology-based pre-processing. In Proceedings, Ninth International Conference on Image analysis and Processing (ICIAP), volume 2, pages 469--476, 1998.
Efficient Focusing and Face Detection - Amit, Geman, Jedynak (1997) (5 citations) (Correct)
....filtered by the first one. The total running time is then 20 seconds (on a Sun Ultra Sparc 2) for the 392 Theta 272 image in figure 2. Other methods are based on first extracting interest points, especially distinguished facial features, such as an elliptical outline [12] the eyes and mouth [9, 18, 19], and local extrema [11, 10] Key features are also prominent in [4, 6, 20] Efficient focusing is our primary objective. However, in contrast to the work cited above, our approach to visual selection does not utilize complex features, which might be as difficult to detect as the face itself. ....
C. C. Han, H. Liao, L. Yu, and L. Hua. Fast face detection via morphology-based pre-processing. Technical report, 1996.
Why Recognition in a Statistics-based Face Recognition.. - Chen, Liao, Lin, Han (2000) (27 citations) Self-citation (Han Liao Chen) (Correct)
....film processing, and human computer interaction. A complete face recognition system should include two stages. The first stage is detecting the location and size of a face , which is difficult and complicated because of the unknown position, orientation and scaling of faces in an arbitrary image [7 14]. The second stage of a face recognition system involves recognizing the target faces obtained in the first stage. In order to design a good face recognition system, the features chosen for recognition play a crucial role. In the literature [15 21] two main approaches to feature extraction have ....
C. C. Han, H. Y. Mark Liao, G. J. Yu, and L. H. Chen, "Fast face detection via morphology-based pre-processing", to appear in Pattern Recognition, 1999.
Face Recognition Using A Face-Only Database: A New Approach - Liao, Han, Yu, Tyan.. (1998) (1 citation) Self-citation (Han Liao Yu Chen) (Correct)
....Database A correct face here is defined as a face portion which includes the eyes, mouth, and nose. In the image acquisition process, it is very difficult to control the camera so as to photograph only the face portion. In this stage, we apply a previously developed face detection algorithm [12] to perform the task. Since we already had a face database containing 768 face images from 128 persons, the algorithm in [12] was used to cut out 6 the face portion of each image. Figure 4 is an example showing this step. After performing the face detection algorithm proposed in [12] the ....
....process, it is very difficult to control the camera so as to photograph only the face portion. In this stage, we apply a previously developed face detection algorithm [12] to perform the task. Since we already had a face database containing 768 face images from 128 persons, the algorithm in [12] was used to cut out 6 the face portion of each image. Figure 4 is an example showing this step. After performing the face detection algorithm proposed in [12] the detected face portions of the images in Figure 1 were those shown in Figure 5. In what follows, we shall discuss how to perform ....
[Article contains additional citation context not shown here]
C. Han, H.-Y. M. Liao, G. Yu, and L.-H. Chen, "Fast face detection via morphologybased pre-processing," Tech. Rep. TR-IIS-97-001, Academia Sinica, Taipei, Taiwan, 1997.
Why A Statistics-based Face Recognition System Should Base .. - Chen, Liao, Han, Lin (1998) Self-citation (Chen) (Correct)
....film processing, and human computer interaction. A complete face recognition system should include two stages. The first stage is detecting the location and size of a face , which is difficult and complicated because of the unknown position, orientation and scaling of faces in an arbitrary image [6, 7, 8, 9, 10, 11, 12, 13]. The second stage of a face recognition system involves recognizing the target faces obtained in the first stage. Recently, some successful face recognition systems have been developed and reported in the literature [1, 2, 14, 15, 16, 17] Among these works, the systems proposed by Goudail et ....
C. C. Han, H. Y. Mark Liao, G. J. Yu, and L. H. Chen, "Fast face detection via morphology-based pre-processing", in Proc. 9th International Conference on Image Analysis and Processing, pp. 469-476, 1997.
Efficient Face Candidates Selector for Face Detection - Wu, Zhou (2002) (Correct)
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C.-C Han, H.-Y. M. Liao, K.-C. Yu, L.-H. Chen, Fast face detection via morphology-based pre-processing, In Proceedings of the Ninth International Conference on Image Analysis and Processing, 1998, pp. 469-476.
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