A Line-Based Adaptive-Weight Matching Algorithm Using Loopy Belief Propagation

<div>(a) Performance evaluation of the proposed method when varying <svg height="9.4034pt" id="M160" style="vertical-align:-3.40335pt" version="1.1" viewbox="-0.0498162 -6.00005 10.2499 9.4034" width="10.2499pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M493 373C493 420 472 451 445 451C421 451 400 435 400 410C400 404 402 400 406 394S417 371 417 350C417 259 317 128 256 55H254C260 126 256 262 238 340C219 424 194 451 163 451C128 451 78 413 24 329L52 302C89 353 106 370 121 370C129 370 137 363 147 336C186 231 196 73 184 -16C152 -88 120 -192 112 -238L130 -257C157 -253 213 -227 231 -213C231 -187 234 -77 240 -23C251 -6 277 30 309 69C424 208 493 299 493 373Z" id="g50-225"></path><glyph.data ascent="3443" descent="-2856" horiz-adv-x="517" vert-adv-y="517"></glyph.data></g><g transform="matrix(.0091,0,0,-0.0091,5.876,3.001)"><path d="M387 400C387 425 348 451 303 451C247 451 176 414 132 376C69 322 24 228 24 148C24 43 74 -12 147 -12C211 -12 301 33 363 103L346 128C319 99 249 51 193 51C148 51 112 84 112 165C112 230 130 287 154 330C170 359 199 400 243 400C277 400 304 383 326 354C333 345 343 343 354 348C378 360 387 382 387 400Z" id="g50-100"></path><glyph.data ascent="3443" descent="-2856" horiz-adv-x="411" vert-adv-y="411"></glyph.data></g></svg> (Tsukuba and Venus). (b) Performance evaluation of the proposed method when varying <svg height="9.4034pt" id="M161" style="vertical-align:-3.40335pt" version="1.1" viewbox="-0.0498162 -6.00005 10.2499 9.4034" width="10.2499pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M493 373C493 420 472 451 445 451C421 451 400 435 400 410C400 404 402 400 406 394S417 371 417 350C417 259 317 128 256 55H254C260 126 256 262 238 340C219 424 194 451 163 451C128 451 78 413 24 329L52 302C89 353 106 370 121 370C129 370 137 363 147 336C186 231 196 73 184 -16C152 -88 120 -192 112 -238L130 -257C157 -253 213 -227 231 -213C231 -187 234 -77 240 -23C251 -6 277 30 309 69C424 208 493 299 493 373Z" id="g50-225"></path><glyph.data ascent="3443" descent="-2856" horiz-adv-x="517" vert-adv-y="517"></glyph.data></g><g transform="matrix(.0091,0,0,-0.0091,5.876,3.001)"><path d="M387 400C387 425 348 451 303 451C247 451 176 414 132 376C69 322 24 228 24 148C24 43 74 -12 147 -12C211 -12 301 33 363 103L346 128C319 99 249 51 193 51C148 51 112 84 112 165C112 230 130 287 154 330C170 359 199 400 243 400C277 400 304 383 326 354C333 345 343 343 354 348C378 360 387 382 387 400Z" id="g50-100"></path><glyph.data ascent="3443" descent="-2856" horiz-adv-x="411" vert-adv-y="411"></glyph.data></g></svg> (Teddy and Cones).</div>

Mathematical Problems in Engineering

fig12

Figure 12

Figure 12: A Line-Based Adaptive-Weight Matching Algorithm Using Loopy Belief Propagation 