A COMPARISON AND EVALUATION OF MOTION INDEXING ...

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[19] L. Kover, M. Gleicher, and F. Pighin, “Motion graphs,” in Proc. of SIGGRAPH, 2002. [20] J. Gower and G. B. Dijksterhuis, Procrustes problems. Oxford University Press, USA, 2004. [21] H. Sakoe and S. Chiba, “Dynamic programming algorithm optimization for spo- ken word recognition,” Readings in speech recognition, p. 159, 1990. [22] “Introduction to 3d animation,” id: 1. 88
BIOGRAPHICAL STATEMENT Harnish Bhatia was born in India on 9 th November 1984. She did her Bachelors of Engineering from Rajeev Gandhi Prodyogiki Vishwavidhyalaya, Bhopal in May 2006. She obtained her Master of Science degree from the University of Texas at Arlington in May 2010. Her current research interests include Computer Animation, Computer Graph- ics and Vision. 89
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A COMPARISON AND EVALUATION OF MOTI
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To my mom, dad, brother, friends an
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ABSTRACT A COMPARISON AND EVALUATIO
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TABLE OF CONTENTS ACKNOWLEDGEMENTS
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LIST OF FIGURES Figure Page 1.1 Ske
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CHAPTER 1 INTRODUCTION Animation is
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• Segmentation: The motion captur
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In several applications, like a mod
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provide fast interpolation but do n
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• Frame: Each slice of time of a
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Figure 1.1: Skeleton with bone name
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Figure 1.4: Snapshot of a sample AM
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CHAPTER 2 PCA-BASED TECHNIQUES In t
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The first step in a PCA analysis is
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of dimensions needed to represent t
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The PCA-SVD algorithm finds the val
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where Vr is a matrix with the first
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2. Similarly combine the two segmen
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joints are known for every pose. He
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motion. Figure 3.1: Result of boole
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2. Feature functions describing an
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F -equivalent if the corresponding
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3.1.6.1 Inverted File Index Inverte
Page 47 and 48: the same set of exact hits. Figure
Page 49 and 50: CHAPTER 4 DYNAMIC TIME WARPING TECH
Page 51 and 52: Figure 4.1: Result of DTW technique
Page 53 and 54: operator \ to determine the relatio
Page 55 and 56: zmin = ¯z + ¯x ′ · sin(θmin)
Page 57 and 58: CHAPTER 5 EXPERIMENTS AND RESULTS W
Page 59 and 60: 5.2 Indexing Accuracy Testing To ev
Page 61 and 62: Figure 5.3: False positives for PCA
Page 63 and 64: Figure 5.5: False positives for PPC
Page 65 and 66: Figure 5.7: False positives for Fea
Page 67 and 68: Figure 5.9: False positives for DTW
Page 69 and 70: Figure 5.11: False positives for DT
Page 71 and 72: Figure 5.13: False Negatives detect
Page 73 and 74: DTW[18]. DTW matching can also be i
Page 75 and 76: Animation techniques can be broadly
Page 77 and 78: directly modified or manipulated by
Page 79 and 80: B.1 Breif History Human beings are
Page 81 and 82: B.2 Motion Capture Technologies 1.
Page 83 and 84: (b) Active markers: Markers have on
Page 85 and 86: • Capture of movement: Subject we
Page 87 and 88: animation abilities, it can be help
Page 89 and 90: 74 09 127 23 138 19 141 14 75 19 79
Page 91 and 92: 10 04 walk with hands moving more 0
Page 93 and 94: 118 05 jump 118 06 jump 118 07 jump
Page 95 and 96: 143 25 waiving 143 08 jumping twist
Page 97: [9] A. J. Hanson, “Visualizing qu
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