scholarly journals Image Morphing With Perceptual Constraints and STN Alignment

2020 ◽  
Vol 39 (6) ◽  
pp. 303-313
Author(s):  
N. Fish ◽  
R. Zhang ◽  
L. Perry ◽  
D. Cohen‐Or ◽  
E. Shechtman ◽  
...  
Keyword(s):  
2017 ◽  
Vol 3 (4) ◽  
pp. 48 ◽  
Author(s):  
Johannes Persch ◽  
Fabien Pierre ◽  
Gabriele Steidl
Keyword(s):  

OALib ◽  
2016 ◽  
Vol 03 (09) ◽  
pp. 1-13
Author(s):  
Tanvir Prince ◽  
Yanicel Fragoso ◽  
Ousmane Gaye
Keyword(s):  

2014 ◽  
Vol 80 (12) ◽  
pp. 1206-1212
Author(s):  
Yosuke NAGASAKA ◽  
Takuma FUNAHASHI ◽  
Hiroyasu KOSHIMIZU

2019 ◽  
Vol 10 (1) ◽  
pp. 204380871881375 ◽  
Author(s):  
Vanja Vidovic ◽  
Mia Romano ◽  
David A. Moscovitch

Negative mental imagery contributes to symptom maintenance in social anxiety disorder (SAD). Here, we investigated the effects of image morphing, a brief mental strategy designed to facilitate access to positive images. Participants with SAD and healthy control (HC) participants were randomly assigned to receive either image morphing or supportive counseling. Although initial training and 1-week daily practice were successful in equipping morphing participants across groups with the required skill, those assigned to morphing failed to demonstrate differential improvements in positive affect, negative affect, or self-perception relative to control participants during a subsequent social stress task. Ancillary analyses revealed that the number of positive details contained in retrieved or morphed images prior to the task significantly predicted the level of positive affect reported after the task, but this effect was observed only for HC participants. We discuss the need for future research to refine innovative imagery-based psychotherapeutic strategies for social anxiety.


2012 ◽  
Vol 182-183 ◽  
pp. 1916-1918
Author(s):  
Hua Li ◽  
Di Xiao Wu ◽  
Qing Min Li ◽  
Peng Ying Zhang ◽  
Rui Wang

This paper puts forward one image registration method based on the feature point of the contour, and Introducing the search method based on genetic algorithm .the method can deal with image morphing caused by translation, rotation and zooming change. This method is simple, convenient , feasible and good robustness, and is suitable for the aerial of satellite remote sensing, the plane and UUV underwater detection state information which are rich image for registration.


2007 ◽  
Vol 20 (3) ◽  
pp. 279-283 ◽  
Author(s):  
Keith Penska ◽  
Les Folio ◽  
Rolf Bunger

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