Titlebook: Computer Analysis of Images and Patterns; 19th International C Nicolas Tsapatsoulis,Andreas Panayides,Mario Vento Conference proceedings 20

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Joint Global ICP for Improved Automatic Alignment of Full Turn Object Scansrsion, which not only considers one-sided adjacent scans, but updates symmetrically in both directions. The result is an approach that leads to a much smoother and more stable convergence, which moreover enables a stable stopping criterion to be applied. This makes the procedure fully automatic and

Lacerate

Fast Projector-Driven Structured Light Matching in Sub-pixel Accuracy Using Bilinear Interpolation Aogical properties can be guaranteed during runtime. Subsequently, an explicit formulation of the optimal sub-pixel position within each quad is derived, using bilinear interpolation, and the permanent existence of a valid solution is proven. In this way, an easy-to-use procedure arises that matches

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Out of the Box: Embodied Navigation in the Real World deployment in real-world scenarios. We then deploy our models on a LoCoBot, a Low-Cost Robot equipped with a single Intel RealSense camera. Different from previous work, our testing scene is unavailable to the agent in simulation. The environment is also inaccessible to the agent beforehand, so it

echnic

Toward a Novel LSB-based Collusion-Secure Fingerprinting Schema for 3D Videont Bit (LSB) substitution to all the frames of both the 2D video and the depth map components in order to ensure simultaneously and independently the protection of these two parts. In the second step, we apply the tracing process whose target is the identification of eventual colluders by extracting

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Cost-Efficient Color Correction Approach on Uncontrolled Lighting Conditionsive to contrasting illumination conditions, with high standard deviations in these cases. Here, we test different methods for improving the stability and precision of the previous algorithm. By using only the 13 patches closest to the color of the targets and more parameters for the least squares mi

ALIEN

H-OCS: A Hybrid Optic Cup Segmentation of Retinal Imagesr learning and image augmentation is used. Additionally, the output of H-OCS is refined and enhanced using a series of post-processing steps. H-OCS is tested on six publicly available datasets: RimOneV3, Drishti, Messidor, Refuge, Riga, and Magrebia and several ablation studies are conducted to eval

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Retinal Vessel Segmentation Using Blending-Based Conditional Generative Adversarial Networkstegy to learn a conditional generative adversarial model. The network synthesizes high-quality fundus images used along with the real images to learn a convolutional neural network-based segmentation model. Experimental evaluation shows that the proposed synthetic generation method improves segmenta

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BILE

Shape Analysis Approach Towards Assessment of Cleft Lip Repair Outcomehuman-assigned ones serves as a validation metric. A correlation of about . indicates a good agreement between human and computer-based assessments. However, better automatic scoring correlation of . exists between the automatically detected mouth regions and those manually drawn by human experts, t