A COMPARISON AND EVALUATION OF MOTION INDEXING ...

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35 05 walk 35 06 walk 35 07 walk 35 08 walk 35 09 walk 35 10 walk 141 25 fast walk 16 15 walk 16 16 walk 16 21 fast walk 16 22 fast walk 16 31 walk 16 32 walk 16 47 walk 16 58 walk 32 01 walk 32 02 walk 39 01 walk 39 02 walk 39 03 walk 39 04 walk 02 01 walk with hands moving more 02 02 blinks 08 01 walk with hands moving more 08 02 walk with hands moving more 08 03 walk with hands moving more 80
10 04 walk with hands moving more 08 06 fast walk 08 07 long stride walk 08 08 fast walk 08 09 fast walk 12 01 slow 12 02 slow 12 03 walk 35 28 walk 35 29 walk 115 01 Pick 115 02 Pick 115 03 Pick 115 04 Pick 115 05 Pick 115 06 Pick 115 07 Pick 115 08 Pick 115 09 Pick 115 10 Pick 19 12 turns while sitting 22 02 sit down 22 03 sit down 23 01 sitting and writing 23 09 sit down 86 15 body jerk, one leg higher 81
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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
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
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: 74 09 127 23 138 19 141 14 75 19 79
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 and 98: [9] A. J. Hanson, “Visualizing qu
Page 99: BIOGRAPHICAL STATEMENT Harnish Bhat
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