56 research outputs found

    A Robust Stereo Vision with Confidence Measure Based on Tree Agreement

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    Curved-line cleft lip repair in unilateral complete cleft lip patients: Comparative analysis of lip dimensions after cheiloplasty

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    This study aimed to restore upper lip symmetry and minimize tissue sacrifice using a curved line design and wire technique and analyze the postoperative outcomes. In this retrospective study, medical records of patients with complete unilateral cleft lip who underwent unilateral cheiloplasty between August 2017 and February 2019 were reviewed. The postoperative clinical photos were analyzed to determine vertical, diagonal philtral heights and the horizontal lengths of the upper lip. The average of the cleft side to non-cleft side length ratios were compared between the curved line group and conventional group. At 3, 6, and 12 months, the average vertical length ratios were significantly greater in the curved line group than in the conventional group (0.927-0.823, p = 0.007; 0.940 to 0.885, p = 0.037; and 0.947 to 0.883, p = 0.040, respectively), but the average horizontal length ratios were not significantly different between the two groups. Within the limitations of the study it seems that curved line cheiloplasty aids in preventing short lip deformity development at regular term without significantly sacrificing the horizontal length and, therefore, should be adopted whenever appropriate

    A fast scanning based message receiving method on four directed acyclic subgraphs

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    We propose a message-receiving algorithm on a Directed Acyclic Subgraph (DAS) structure to approximate the solution of general labeling problems extremely quickly. The algorithm divides a graph into four subgraphs to get a joint distribution of all nodes, then passes messages in two fixed directions as inference on DASs. Message receiving is a modified version of message passing. When receiving messages on DAS structure, labeling results can be obtained after just four scans. The proposed algorithm was evaluated by using it to perform three labeling decision applications (binary segmentation, image denoising, and stereo matching). Compared to other highly-accurate iterative algorithms (alpha-expansion, alpha-beta swap, tree-reweighted message passing, sum-product belief propagation, max-product belief propagation, and FastPD), the proposed algorithm shows competitive accuracy but requires much less computational time. The proposed algorithm is appropriate for applications in which iterative schemes are undesirable, but which must get reliable labeling results within a limited time. (C) 2016 Elsevier Inc. All rights reserved.1111sciescopu

    Moving Object Detection Using Energy Model and Particle Filter for Dynamic Scene

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