A Twin-to-Twin Transfusion Syndrome (TTTS) is a condition that occurs in about 10% of pregnancies involving monochorionic twins. This complication can be treated with fetoscopic laser coagulation. The procedure could greatly benefit from panorama reconstruction to gain an overview of the placenta. In previous work we investigated which steps could improve the reconstruction performance for an in-vivo setting. In this work we improved this registration by proposing a stable region detection method as well as extracting matchable features based on a deep-learning approach. Finally, we extracted a measure for the image registration quality and the visibility condition. With experiments we show that the image registration performance is increased and more constant. Using these methods a system can be developed that supports the surgeon during the surgery, by giving feedback and providing a more complete overview of the placenta.@en

Twin-to-Twin Transfusion Syndrome (TTTS) is a condition that occurs in about 10% of pregnancies involving monochorionic twins. This complication can be treated with fetoscopic laser coagulation. The procedure could greatly benefit from panorama reconstruction to gain an overview of the placenta. Current state-of-the-art methods focus on panorama reconstruction in an ex-vivo setting. However, these methods fail in the in-vivo surgical setting. This paper describes the panorama reconstruction approach, the challenges posed by the in-vivo setting and the influence of these challenges on the panorama reconstruction. With experiments we show that the viewing quality is greatly reduced and that the limited motion of the fetoscope complicates and limits the precision of the image registration. We also identify the aspect necessary to shift from ex-vivo to in-vivo panorama reconstruction. Following our recommendations it should be possible to develop an approach that can be applied to TTTS surgery@en

High fidelity reproductions of paintings provide new opportunities to museums in preserving and providing access to cultural heritage. This paper presents an integrated system which is able to capture and fabricate color, relief and gloss of a painting's surface, emphasizing on gloss capturing. To measure the spatially varying gloss, the specular reflection of the center of the scanned area is sampled at the Brewster angle, utilizing the effect of reflectance polarization at this angle. The off-center gloss measurements are corrected using the perpendicular and parallel reflectance coefficients, relative to the center measurement. Shadows in the gloss map, which are caused by 3D relief of the surface, are masked based on the height map and then filled by interpolating surrounding gloss information. The captured color image, height map and gloss map are inputs for the 3D printer. A painting "Two wrestling figures in the style of Van Gogh" was reproduced to verify the effectiveness and efficiency of the proposed system. Experiment results indicate that the proposed system gives accurate enough gloss measurement of the painting's surface for the purpose of gloss fabrication.@en