Editorial Issue 34.2

This issue contains 10 papers. In the first paper, Diego Mazala and Claudio Esperança, from Universidade Federal do Rio de Janeiro in Brazil, Ricardo Marroquim, Delft University of Technology Netherlands, present a novel method for blending human faces order to create new one. nutshell, their proposal uses Laplacian smoothing segregate layers details one or more faces, which are then integrated into base face with help an interactive visual editor. particular, supports multiple subregions those faces. Since approach is intuitive relatively easy implement, it can be artistic pipelines aiming at designing models preexisting ones. second Ulas Gulec, TED Ankara, Turkey, Ilkin Sevgi Isler, Central Florida Orlando, USA, Mehmet Harun Doganay Muruvet Gokcen, Milsoft Software Technologies, Mert Ali Gozcu, Simsoft Information Technologies Merve Denizci Nazligul, Yeditepe Istanbul, propose study that aims increase motivation levels powerlifters during training sessions by developing virtual competition environment. this environment, athletes experience environment using HTC Vive. To understand efficiency was tested 32 professional athletes. The findings illustrated VR technology beneficial level sessions. third Jinyu Li, Xin Zhou, Bangbang Yang, Guofeng Zhang, Xun Wang, Hujun Bao, Zhejiang Hangzhou, China, RLP-VIO—a robust lightweight monocular visual-inertial odometry system multiplane priors. With planes extracted point cloud, visual-inertial-plane PnP plane information fast localization. For sensor fusion, sliding-window optimization structureless plane-distance error cost, prevents fill-in effect poisons BA problem's sparsity permits use smaller sliding window while maintaining good accuracy. total computational cost further reduced modified marginalization strategy. improve tracking robustness, landmark depths constrained degenerated motion. whole parallelized three-stage pipeline. Their achieves competitive accuracy works robustly even on long challenging sequences. fourth Ruizhe Ryo Oji, Issei Fujishiro, Keio Yokohama, Japan, anime-like character customization system, where each customizing parameter adjust shape color corresponding part model. Based authors improved generating rich variety 3D NPCs including body clothing items different styles. They introduce neural network control facial appearances, Gaussian mixture colors hair clothes, Bayesian outfits items. demonstrate proposed maintain stability generated characters. fifth paper Cheng Shang, Hongke Zhao, Meili Xiao Long Yu Jiang, Qiang Gao, Northwest Agriculture Forestry Yangling, focuses identification cashmere goats similar characteristics. First, single shot detection used process data set. Next, innovatively multibranch fusion structure triplet loss function Label Smoothing CrossEntropy Loss function, as well they added small number images 24 breeds sheep goat dataset ID promote distance between individuals, trained model find lowest recognition Unlike previous studies Cycle-GAN, took learn combine features seen photos goats. learned were all observed same goats, achieved better results learning sixth Jia Chen, Haidongqing Yuan, Yi Ruhan He, Jinxing Liang, Wuhan Textile fashion image retrieval framework based dilated convolutional residual consists two major parts, feature extraction measurement. extraction, extract shallow input multiscale network, develop obtain deep image. Finally, transformed high-dimensional vector binary module. measurement, PCA reduce dimension vectors. Then mixed measurement algorithm combined cosine Mahalanobis calculate spatial vectors similarity ranking. seventh Yi-Jheng Huang, Yuan Ze Taoyuan, Taiwan, proposes detecting edges mesh surface. His quad mesh, makes meshes resemble images. As result, image-processing methods applied meshes. six classical edge filters implemented experimental his identify areas high gradient A comparison other boundaries reveals effective boundaries. Lastly, he applications utilize eighth Xue Du, Juan Xiu Sun, Kunpeng Junlong Jiang Chuan Shandong Science underwater enhancement entropy weight white balance processing effectively correct blue (green) appearance white-balanced converted RGB space LAB space, L channel processed adaptive gamma correction, back space. CLAHE bilateral filtering performed HSV V single-scale Retinex guided filtering, stretching R s-cosine curve, three fused final enhanced Experimental show contrast clarity images, remove cast. ninth Ana Agić, Lidija Mandić, Lea Skorin-Kapov, Zagreb Croatia, report user aimed investigate compare types locomotion techniques terms impact cybersickness. scene settings, daytime nighttime, explore potential adjustments. evaluation cybersickness, questionnaire subjective ratings, heart rate monitoring objective metric. Results linear movement technique provokes highest women have higher compared men when navigating interacting scene. Regarding influence contrast, showed scenes daylight suited participants almost scenarios. addition reported related highlight key contribution utilized test methodology. last Zafar Masood, Jiangbin Zheng, Muhammad Irfan, Idrees Ahmad, Northwestern Polytechnical Xi'an, presents high-performance large-scale terrain rendering high-fidelity display systems game engine. performs patch-based hierarchical culling multiresolution load. view-based simplifies patches GPU. Simplified efficiently submitted drawing indirect instancing utilizes hardware tessellation accurate Earth's surface construction displacement mapping. evaluated high-quality output consumer-level hardware. Flights various settings clipmap-based state-of-the-art methods. 750, 575, 540 frames-per-second (fps) HD, full-HD, ultra-HD resolutions.