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Segmentation Quality for Augmented Reality: An Objective Metric.

, , , , and . SVR, page 212-219. IEEE Computer Society, (2015)

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Pedestrian traffic lights and crosswalk identification., , , and . Multim. Tools Appl., 81 (12): 16497-16513 (2022)Mutual occlusion between real and virtual elements in Augmented Reality based on fiducial markers., , , , and . WACV, page 49-54. IEEE Computer Society, (2012)Handling Occlusions in Augmented Reality for Mobile Devices., , , , and . SVR, page 112-119. IEEE, (2019)Pseudo-haptic Perception in Smartphones Graphical Interfaces: A Case Study., , , , and . HCI (9), volume 12770 of Lecture Notes in Computer Science, page 203-222. Springer, (2021)A mapping of visual SLAM algorithms and their applications in augmented reality., , and . SVR, page 20-29. IEEE, (2020)Subjective Video Quality Assessment in Segmentation for Augmented Reality Applications., , , and . SVR, page 46-55. IEEE Computer Society, (2012)Bilayer Segmentation Augmented with Future Evidence., , and . ICCSA (2), volume 7334 of Lecture Notes in Computer Science, page 699-711. Springer, (2012)Objective assessment of video segmentation quality for augmented reality., , , and . ICME, page 1-6. IEEE Computer Society, (2013)Segmentation Quality for Augmented Reality: An Objective Metric., , , , and . SVR, page 212-219. IEEE Computer Society, (2015)Automatic generation of difficulty maps for datasets using neural network., , , , , , and . Multim. Tools Appl., 83 (25): 66499-66516 (July 2024)