文献目録

1

S.Akaho: Translation, scale and rotation invariant features besed on higher-order autocorrelations, Bulletin of the Electrotechnical Laboratory, Vol.57, No.10, pp.973-981, 1993.

2

Akaho, S. : ``The EM algorithm for multiple object recognition'', Proc. of ICNN'95, pp.2426-2431, Perth, 1995.

3

Akaike, H. : ``A new look at the statistical model identification'', IEEE Trans. on Automatic Control, Vol.AC-19, NO.6, pp.716-723, 1974.

4

赤松: コンピュータによる顔の認識の研究動向, 電子 情報通信学会誌, Vol.80, No.3, pp.257-266, 1997.

5

赤松, 佐々木, 深町, 末永: 濃淡画像のマッチングに よるロバストな正面顔の識別法--フーリエスペクトルのKL展開の応用--, 電 子情報通信学会論文誌, Vol.J76-D-II, No.7, pp.1363-1373, 1993.

6

Ayer, S. and Sawhney, J. S. : ``Layered representation of motion video using robust maximum-likelihood estimation of mixture models and MDL encoding'', Proc. of ICCV'95, pp.777-784, 1995.

7

D.H.Ballrad and C.M.Brown, Computer Vision, Prentice-Hall (1982).

8

Black, M. J. and Anandan, P. : ``The robust estimation of multiple motions: parametric and piecewise-smooth flow fields, Computer Vision and Image Understanding'', Vol.63, No.1, pp.75-104, 1996.

9

Black, M. J. and Jepson, A. D. : ``Estimating optical flow in segmented images using variable-order parametric models with local deformations'', IEEE Trans. on PAMI, Vol.18, No.10, pp.972-986, 1996.

10

Bose, C. B. and Kuo, S.-S : ``Connected and degraded text recognition using hidden markov model'', Proc. of ICPR'92, pp.116-119, 1992.

11

R.Chellappa, C.L.Wilson, and S.Sirohey: Human and machine recognition of faces: a survey, Proc. of the IEEE, Vol.83, NO.5, pp.705-740, 1995.

12

Dempster, A., Laird, N. and Rubin, D. : ``Maximum likelihood from incomplete data via the EM algorithm'', J. Roy. Statist. Soc. B, Vol.39, pp.1-38, 1977.

13

K.I.Diamantaras and S.Y.Kung, ``Principal Compornent Neural Networks: Theory and Applications,'' John Wiley & Sons, 1996.

14

J.Durbin, ``The fitting of time-series models'', Rev. Inst. Int. de Stat., Vol.28, No.3, pp.233-244, 1960.

15

Efron, B. : ``Bootstrap methods: another look at the jackknife'', The Annals of Statistics, Vol.7, No.1, pp.1-26, 1979.

16

Efron, B. : ``Estimating the error rate of a prediction rule: improvements in cross-validation'', J. American Statist. Assoc., Vol.78, pp.316-331, 1983.

17

Efron, B. : ``The bootstrap method for assessing statistical accuracy'', Behaviormetrika, Vol.17, pp.1-35, 1985.

18

栄藤, 安慶: ``パラメータ化ブロック相関 - グローバル 動き保証とビデオモザイキングのための２次元パラメトリック動き予測 -'', 信学技報, PRMU-97-93, 1997.

19

T.Ezzat and T.Poggio: Facial analysis and synthesis using image-based models, Proc. of Inter. Conf. on Automatic Face and Gesture Recognition, pp.116-121, 1996.

20

Fan, C. M., Namazi, N. M. and Penafiel, P. B. : ``A new image motion estimation algorithm based on the EM technique'', IEEE Trans. on PAMI, Vol.18, No.3, pp.348-352,1996.

21

Geman, S. and Geman, D. : ``Stochastic relaxation, Gibbs distribution, and the Bayesian restoration of images'', IEEE Trans. on PAMI, Vol.6, No.6, pp.721-741, 1985.

22

F.Goudail, E.Lange, T.Iwamoto, K.Kyuma, and N.Otsu: Face recognition system using local autocorrelations and multiscale integration, IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol.18, No.10, pp.1024-1028, 1996.

23

Gu, H., Shirai, Y. and Asada, M. : ``MDL-based segmentation and motion modeling in a long image saequence of scene with multiple independently moving objects'', IEEE Trans. on PAMI, Vol.18, No.1, pp.58-64, 1996.

24

日本カラーデザイン研究室, 配色イメージブック, 講談社, 1984.

25

Hampel, F. R., Ronchetti, E. M., Rousseeeuw, P. J. and Stahel, W.A. : Robust Statistics: An Approach Based on Influence Functions, John Wiley & Sons, 1986.

26

O.Hasegawa, K.Itou, T.Kurita, S.Hayamizu, K.Tanaka, K.Yamamoto, N.Otsu, ``Active agent oriented multimodal interface system,'' Proc. IJCAI-95, pp.82-87, 1995.

27

Huber, P. J. : Robust Statistics, John Wiley & Sons, 1981.

28

Kanungo, T., Dom, B., Niblack, W. and Steele, D. : ``A fast algorithm for MDL-based multi-band image segmentation'', Proc. of CVPR'94, pp.609-616, 1994.

29

Kass, M., Witkin, A. and Terzopoulos, D. : ``Snakes: Active contour models'', Inter. J. of Computer Vision, pp.321-331, 1988.

30

M.Kirby and L.Sirovich: Application of the Karhunen-Love procedure for the characterization of human faces, Trans. on Pattern Analysis and Machine Intelligence, Vol.12, No.1, pp.103-108, 1990.

31

T.Kohonen, Associative Memory, Springer-Verlag, 1977.

32

M.Kreuts, B.Volpel and H.Jansen: Scale-invariant image recognition based on higher-order autocorrelation features, Pattern Recognition, Vol.29, No.1, pp.19-26, 1996.

33

栗田, 関田, 大津, ``複素自己回帰モデルに基づく輪郭 形状間の距離,'' 電子情報通信学会論文誌, Vol.J73-D-II, No.9, pp.1493-1503, 1990.

34

T.Kurita, N.Otsu, and T.Sato, ``A face recognition method using higher order local autocorrelation and multivariate analysis,'' Proc. of Int. Conf. on Pattern Recognition, Aug. 30 - Sep. 3, The Hague, Vol.II, pp.213-216, 1992.

35

栗田, 加藤, 福田, 坂倉, ``印象語による絵画デー タベースの検索,'' 情報処理学会論文誌, Vol.33, No.11, pp.1373-1383, 1992.

36

栗田: ``ロバスト統計に基づく画像解析'', 信学誌, Vol.76, No.12, pp.1293-1297, 1993.

37

T.Kurita, I.Sekita, and N.Otsu, ``Invariant distance measures for planar shapes based on complex autoregressive model,'' Pattern Recognition, Vol.27, No.7, pp.903-911, 1994.

38

栗田, 堀田, 三島: Log-Polar 画像の高次局所自己相関 特徴を用いた大きさ・回転に不変な2次元図形及び顔画像の認識, 信学技報, Vol.PRMU96-212, 1997.

39

栗田, 小林, 三島, ``PARCOR画像の高次局所自 己相関特徴を用いた背景変化および並行移動に強いジェスチャー認識,'' 信学 技報, PRMU96-213, p.159-164, 1997.

40

T.Kurita, Y.Kobayashi, and T.Mishima, ``Higher order local autocorrelation features of PARCOR images for gesture recognition,'' Proc. of Inter. Conf. on Image Processing, Vol.3, pp.722-725, 1997.

41

T.Kurita and S.Hayamizu, ``Gesture recognition using HLAC features of PARCOR images and HMM based Recognizer,'' Proc. of Inter. Conf. on Automatic Face and Gesture Recognition, pp.422-427, 1998.

42

Leclerc, Y. G. : ``Constructing simple stable descriptions for image partitioning'', Inter. J. of Computer Vision, Vol.3, pp.73-102, 1989.

43

MacKay, D. J. C. : ``Bayesian interpolation'', Neural Computation, Vol.4, pp.415-447, 1992.

44

Masuda, T. and Yokoya, N. : ``A robust method for registration and segmentation of multiple range images'', Computer Vision and Image Understanding, Vol.61, No.3, pp.295-307, 1995.

45

J.A.Mclaughlin and J.Raviv, ``Nth-order autocorrelations in pattern recognition,'' Information and Control, Vol.12, pp.121-142, 1968.

46

Meer, R., Mintz, D., Rosenfeld, A. and Kim, D. Y. : ``Robust regression methods for computer vision: a review'', Inter. J. of Computer Vision, Vol.6, No.1, pp.59-70, 1991.

47

Miller, J. V. and Stewart, C.V. : ``MUSE: Robust surface fitting using unbiased scale estimates'', Porc. of CVPR'96, pp.300-306, 1996.

48

H.Murase and Shree K.Nayar, ``Visual learning and recognition of 3-D objects from appearance,'' Inter. Journal of Computer Vision, Vol.14, pp.5-24, 1995.

49

N.Otsu, ``A threshold selection method from gray-level histograms,'' IEEE Trans. on System, Man, and Cybernetics, Vol.SMC-9, No.1, pp.62-66, 1979.

50

大津, ``判別および最小２乗基準に基づく自動しきい値選 定法,'' 電子通信学会論文誌, Vol.J63-D, No.4, pp.349-356, 1980.

51

大津: パターン認識における特徴抽出に関する数理的研究, 電子技術総合研究所研究報告, Vol.818, 1981.

52

N.Otsu and T.Kasvand, ``Image restoration by multipler regression analysis approach,'' Proc. of Inter. Conf. on Pattern Recognition, pp.155-158, 1984.

53

N.Otsu, and T.Kurita, ``A new scheme for practical, flexible and intelligent vision systems,'' Proc. IAPR Workshop on Computer Vision, pp.431-435, 1988.

54

大津, 栗田, 関田, パターン認識--理論と応用--, 朝倉書店, 1986.

55

A.Pentland, B.Moghaddam, and T.Starner: View-based and modulear eigenspaces for face recognitoin, Proc. of CVPR'94, pp.84-91, 1994.

56

Rissanen, J. : ``A universal prior for integers and estimation by minimum description length'', The Annals of Stat., Vol.11, No.2, pp.416-431, 1983.

57

Rissanen, J. : ``Stochastic complexity and modeling'', The Annals of Stat., Vol.14, No.3, pp.1080-1100, 1986.

58

Rousseeuw, R.J. : ``Least median of squares regression'', J. American Stat. Assoc., Vol.79, pp.871-880, 1984.

59

Rousseeuw, R. J. and Leroy, A. M. : Robust Regression and Outlier Detection, John Wiley & Sons, 1986.

60

Roth, G. and Levine, M. D. : ``Geometric primitive extraction using a genetic algorithm'', Proc. of CVPR'92, pp.640-643, 1992.

61

Roth, G. and Levine, M. D. : ``Extracting geometric primitives'', CVGIP:Image Understanding, Vol.58, No.1, pp.1-22, 1993.

62

坂本, 石黒, 北川 : 「情報量統計学」, 共立出版, 1983.

63

坂上, 横矢 : ``弛緩法と正則化'', 情報処理, Vol.30, No.9, pp.1047-1057, 1989.

64

A.Samal and P.A.Iyengar: Automatic recognition and analysis of human faces and facial expressions: a survey, Pattern Recognition, Vol.25, No.1, pp.65-77, 1992.

65

Sawhney, H. S. and Ayer, S. : ``Compact representations of videos through dominant and multiple motion estimation'', IEEE Trans. on PAMI, Vol.18, No.8, pp.814-830, 1996.

66

関田, 栗田, 大津, ``複素自己回帰モデルによる形の識 別,'' 電子情報通信学会論文誌, Vol.J73-D-II, No.6, pp.804-811, 1990.

67

I.Sekita, T.Kurita and N.Otsu, ``Complex autoregressive model for shape recognition,'' IEEE Trans. on Pattern Anal. & Machine Intelli., Vol.PAMI-14, No.4, pp.489-496, 1992.

68

Sekita, I. : ``On fitting several lines using the EM algorithm'', Proc. of CVVC'94, pp.107-109, 1994.

69

Shahraray, B. and Anderson, D. J. : ``Optimal estimation of contour properties by cross-validated regularization'', IEEE Trans. on PAMI, Vol.11, No.6, pp.600-610, 1989.

70

渋川, 高橋, 配色辞典2, 河出書房新社, 1987.

71

Starner, T. and Pentland, A. : ``Real-time american sign language recognition from video using hidden Markov models'', M.I.T. Media Lab. Perceptual Computing Section Technical Report No.375, 1995.

72

Stone, M. : ``Cross-validatory choice and assessment of statistical predictions'', J. Roy. Stat. Soc., Vol.B36, pp.111-147, 1974.

73

D.L.Swets and J.Weng, ``Using discriminant eigenfeatures for image retrieval,'' IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol.18, No.8, pp.831-836, 1996.

74

高木, 下田 (監修): 「画像解析ハンドブック」, 東京大 学出版会, 1991.

75

Tanner, M. A. : Tools for Statistical Inference: Methods for the Exploration of Posterior Distributions and Likelihood Functions, Springer-Verlag, 1993.

76

Thompson, A. M., Brown, J. C., Kay, J. W. and Titterington, D. M. : ``A study of methods of choosing the smoothing parameter in image restoration by regularization'', IEEE Trans. on PAMI, Vol.13, No.4, pp.326-339, 1991.

77

M.Turk and A.Pentland: Eigenfaces for recognition, Journal of Cognitive Neuroscience, Vol.3, No.1, pp.71-86, 1991.

78

M.A.Turk and A.P.Pentland, ``Face recognition using eigenfaces,'' Proc. of IEEE Conf. on Computer Vision and Pattern Recognition, pp.586-591, 1991.

79

上田, 中野 : ``確率的アニーリング EM アルゴリズム'', 信学論 (D), Vol.J80-D-II, No.1, pp.267-276, 1997.

80

梅山 : ``ロバスト統計の考え方を用いた正則化に おける不連続の検出について'', 信学技報, PRMU95-217, 1996.

81

梅山: ``ロバスト回帰に基づく多重オプティカルフロー の推定について'', 信学技報, PRMU96-108, 1996.

82

N.Yokoya and M.D.Levin, ``Range image segmentation basedn on differential geometry: a hybrid approach,'' IEEE Trans. on PAMI, Vol.11, No.6, pp.643-649, 1989.

83

横矢, M.D.Levin, ``微分幾何学特徴に基づく距離画像 分割のためのハイブリッド手法,'' 情報処理学会論文誌, Vol.30, No.8, pp.944-953, 1989.

84

横矢, 坂上 : ``画像理解と最適化原理'', 信学誌, Vol.74, No.4, pp.326-334, 1991.

85

Zhang, J. : ``The mean field theory in EM procedures for Markov random fields'', IEEE Trans. on Signal Processing, Vol.40, No.10, pp.2570-2583, 1992.

86

Zheng, H. and Blostein, S. D. : ``Motion-based object segmentation and estimation using the MDL principle'', IEEE Trans. on Image Processing, Vol.4, No.9, pp.1223-1235, 1995.

87

Zhu, S. C., Lee, T. S. and Yuille, A. L.: ``Region competition: Unifying snakes, region growing, energy/Bayes/MDL for multi-band image segmentation'', Proc. of ICCV'95, pp.416-423, 1995.

88

Zhu, S. C. and Yuille, A. L.: ``Region competition: Unifying snakes, region growing, and Bayes/MDL for multiband image segmentation'', IEEE Trans. on PAMI, Vol.18, No.9, pp.884-900, 1996.