Maintaining adequate or enhancing mechanical properties of shape memory polymers (SMPs) after shape recovery in an aqueous environment are greatly desired for biomedical applications of SMPs as self-fitting tissue scaffolds or minimally invasive surgical implants. Here we report stable temporary shape fixing and facile shape recovery of biodegradable triblock amphiphilic SMPs containing a poly(...

In shape-memory polymers, large strain can be fixed at a low temperature and thereafter recovered at a high temperature. If the shape-memory polymer is held at a high temperature for a long time, the irrecoverable strain can attain a new intermediate shape between the shape under the maximum stress and the primary shape. Irrecoverable strain control can be applied to the fabrication of a shape-...

Ni-Ti shape memory alloy fiber embedded resin matrix composites were produced for evaluation of "smart denture", a newly developing denture with the function to close its own crack. Their bending strength and shape recovery after instant crack repair was estimated. The embedded fibers did not decrease the bending strength of the composite after repair. The crack closure of the composites was pe...

This paper discusses ways of using a single panoramic image (captured by a rotating sensor-line camera having very-high spatial resolution) for the geometric shape recovery of a shown object. The objective is to create a sparse polyhedral model, only allowing a few interactive user inputs for a given single panoramic image. The study was motivated by the general question whether a single panora...

Magnetically sensitive shape memory poly(styrene-b-butadiene-b-styrene) copolymer (SBS)/liner low density polyethylene (LLDPE) composites filled with various contents of Fe3O4 nanoparticles were prepared. The influence of the Fe3O4 nanoparticles content on the thermal properties, mechanical properties, fracture morphology, magnetic behavior, and shape memory effect of SBS/LLDPE/Fe3O4 composites...

This paper describes a method to recover entire 3D shape of a building from an image sequence. This is a kind of "Shape and Motion recovery" problem, whereas conventional methods do not work well with images taken around a large object in near distance. Since such image sequence is a set of partial observations, 3D recovery becomes unstable. We first discuss the property of local minima of the ...

This paper describes an adaptive method for the recovery of 3-D shape models from sequences of images. A 3-D surface model, initialised to be spherical, is progressively deformed under the action of simulated external forces arising from the proole of the target object in successive images, obtained using a low-level motion segmentation scheme. Intrinsic constraints encourage the model to defor...

Shape recovery methods from an image sequence have been studied by many researchers. Theoretically, these methods are perfect, but they are sensitive to noise, so that in many practical situations, we could not obtain satisfactory results. In addition, we could not obtain the scale of the recovered object because of the imageprojection property. To solve these problems, we propose a shape recov...

Object shape and camera motion recovery from an image sequence is a crucial issue in computer vision and many methods have been proposed by researchers. Theoretically, these methods are perfect, but they are sensitive to noise, so that in many practical situations, satisfactory results cannot be obtained. To solve this problem, we propose a shape and motion recovery method using a gyro sensor a...

In this paper, we present a shape recovery technique in 2D and 3D with speciic applications in visualizing and measuring anatomical shapes from medical images. This algorithm models extremely corrugated structures like the brain, is topologically adaptable , is robust, and runs in O(N log N) time where N is the total number of points in the domain. Our two-stage technique is based on the level ...