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This special issue will address the problem of registering images of deformable scenes acquired from different viewpoints and/or different times. Papers are sought that advance the theoretical foundations of this important problem or present new applications in which nonrigid registration plays a major role. Of particular interest in the context of the special issue are innovative methods for registering two or more images or objects subject to nonlinear geometric differences, as well as medical, industrial, and remote sensing applications where nonrigid registration is required to fuse multimodal data, detect scene changes, compute image flow, estimate motion, or recognize objects. Topics include nonlinear transformation functions; energy-minimizing algorithms; similarity measures; image fusion (2-D and 3-D); object matching (2-D and 3-D); constraints in image registration; object tracking, motion estimation, and image flow computation; and medical, industrial, and remote sensing applications. The Guest Editors are Ardeshir Goshtasby, Computer Science and Engineering,
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The application of imaging and pattern recognition techniques in biology is poised to catalyze several breakthroughs in critical areas, including genetics and neuroscience, over the forthcoming decade. This special issue targets high quality and original contributions involving the application of im