A COMPARISON AND EVALUATION OF MOTION INDEXING ...

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ture Database and its corresponding annotation. These experimental results will allow for an objective comparison between the different indexing techniques and for assessing the deficiencies of whole-body indexing techniques. vi
TABLE OF CONTENTS ACKNOWLEDGEMENTS . . . . . . . . . . . . . . . . . . . . . . . . . . . . iv ABSTRACT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . v LIST OF FIGURES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ix LIST OF TABLES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . x Chapter Page 1. INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.1 Motion Representation . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.2 Mocap file formats . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 2. PCA-BASED TECHNIQUES . . . . . . . . . . . . . . . . . . . . . . . . . 15 2.1 Implementation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 2.1.1 SVD Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 2.1.2 Calculation of the Reduced Dimension . . . . . . . . . . . . . 20 2.1.3 PCA-SVD Technique . . . . . . . . . . . . . . . . . . . . . . . 20 2.1.4 PPCA Technique . . . . . . . . . . . . . . . . . . . . . . . . . 22 2.1.5 Indexing of Segments . . . . . . . . . . . . . . . . . . . . . . . 24 3. FEATURE-BASED TECHNIQUE . . . . . . . . . . . . . . . . . . . . . . 26 3.1 Implementation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 3.1.1 Notation for feature-based method . . . . . . . . . . . . . . . 28 3.1.2 Feature Functions . . . . . . . . . . . . . . . . . . . . . . . . . 28 3.1.3 Threshold Selection . . . . . . . . . . . . . . . . . . . . . . . . 32 3.1.4 Formation of Document . . . . . . . . . . . . . . . . . . . . . 32 3.1.5 Adaptive Segmentation . . . . . . . . . . . . . . . . . . . . . . 32 vii
Page 1 and 2: A COMPARISON AND EVALUATION OF MOTI
Page 3 and 4: To my mom, dad, brother, friends an
Page 5: ABSTRACT A COMPARISON AND EVALUATIO
Page 9 and 10: LIST OF FIGURES Figure Page 1.1 Ske
Page 11 and 12: CHAPTER 1 INTRODUCTION Animation is
Page 13 and 14: • Segmentation: The motion captur
Page 15 and 16: In several applications, like a mod
Page 17 and 18: provide fast interpolation but do n
Page 19 and 20: • Frame: Each slice of time of a
Page 21 and 22: Figure 1.1: Skeleton with bone name
Page 23 and 24: Figure 1.4: Snapshot of a sample AM
Page 25 and 26: CHAPTER 2 PCA-BASED TECHNIQUES In t
Page 27 and 28: The first step in a PCA analysis is
Page 29 and 30: of dimensions needed to represent t
Page 31 and 32: The PCA-SVD algorithm finds the val
Page 33 and 34: where Vr is a matrix with the first
Page 35 and 36: 2. Similarly combine the two segmen
Page 37 and 38: joints are known for every pose. He
Page 39 and 40: motion. Figure 3.1: Result of boole
Page 41 and 42: 2. Feature functions describing an
Page 43 and 44: F -equivalent if the corresponding
Page 45 and 46: 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
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Figure 5.7: False positives for Fea
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Figure 5.9: False positives for DTW
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Figure 5.11: False positives for DT
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Figure 5.13: False Negatives detect
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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.
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(b) Active markers: Markers have on
Page 85 and 86:
• Capture of movement: Subject we
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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
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118 05 jump 118 06 jump 118 07 jump
Page 95 and 96:
143 25 waiving 143 08 jumping twist
Page 97 and 98:
[9] A. J. Hanson, “Visualizing qu
Page 99:
BIOGRAPHICAL STATEMENT Harnish Bhat
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