Liming Ye^1,2, Gang Liu^1,2,3,4,*, Genshen Chen^1,2, Kang Li^1,2, Qiyu Chen^1,2,3, Wenyao Fan^1,2, Junjie Zhang^1,2

Computer Systems Science and Engineering, Vol.47, No.2, pp. 2529-2545, 2023, DOI:10.32604/csse.2023.041488

Abstract Nowadays, Web browsers have become an important carrier of 3D model visualization because of their convenience and portability. During the process of large-scale 3D model visualization based on Web scenes with the problems of slow rendering speed and low FPS (Frames Per Second), occlusion culling, as an important method for rendering optimization, can remove most of the occluded objects and improve rendering efficiency. The traditional occlusion culling algorithm (TOCA) is calculated by traversing all objects in the scene, which involves a large amount of repeated calculation and time consumption. To advance the rendering process and enhance rendering efficiency, this paper… More >

Zhipeng Bin¹, Huihuang Zhao^1,2,*, Xiaoman Liang^1,2, Wenli Chen¹

Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 971-983, 2023, DOI:10.32604/iasc.2023.037270

Abstract The main challenges in face swapping are the preservation and adaptive superimposition of attributes of two images. In this study, the Face Swapping Attention Network (FSA-Net) is proposed to generate photorealistic face swapping. The existing face-swapping methods ignore the blending attributes or mismatch the facial keypoint (cheek, mouth, eye, nose, etc.), which causes artifacts and makes the generated face silhouette non-realistic. To address this problem, a novel reinforced multi-aware attention module, referred to as RMAA, is proposed for handling facial fusion and expression occlusion flaws. The framework includes two stages. In the first stage, a novel attribute encoder is proposed… More >

H. Shalma, P. Selvaraj^*

Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 1145-1161, 2023, DOI:10.32604/iasc.2023.036853

Abstract The creation of the 3D rendering model involves the prediction of an accurate depth map for the input images. A proposed approach of a modified semi-global block matching algorithm with variable window size and the gradient assessment of objects predicts the depth map. 3D modeling and view synthesis algorithms could effectively handle the obtained disparity maps. This work uses the consistency check method to find an accurate depth map for identifying occluded pixels. The prediction of the disparity map by semi-global block matching has used the benchmark dataset of Middlebury stereo for evaluation. The improved depth map quality within a… More >

Zhengshu Zhou^1,*, Shunya Yamada², Yousuke Watanabe², Hiroaki Takada^1,2

Computer Systems Science and Engineering, Vol.44, No.3, pp. 2109-2127, 2023, DOI:10.32604/csse.2023.029005

Abstract Many traffic accidents occur in parking lots. One of the serious safety risks is vehicle-pedestrian conflict. Moreover, with the increasing development of automatic driving and parking technology, parking safety has received significant attention from vehicle safety analysts. However, pedestrian protection in parking lots still faces many challenges. For example, the physical structure of a parking lot may be complex, and dead corners would occur when the vehicle density is high. These lead to pedestrians’ sudden appearance in the vehicle’s path from an unexpected position, resulting in collision accidents in the parking lot. We advocate that besides vehicular sensing data, high-precision… More >

Zia Ullah¹, Muhammad Ismail Mohmand¹, Sadaqat ur Rehman^2,*, Muhammad Zubair³, Maha Driss⁴, Wadii Boulila⁵, Rayan Sheikh², Ibrahim Alwawi⁶

CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 4465-4487, 2022, DOI:10.32604/cmc.2022.029101

Abstract Facial expression recognition has been a hot topic for decades, but high intraclass variation makes it challenging. To overcome intraclass variation for visual recognition, we introduce a novel fusion methodology, in which the proposed model first extract features followed by feature fusion. Specifically, RestNet-50, VGG-19, and Inception-V3 is used to ensure feature learning followed by feature fusion. Finally, the three feature extraction models are utilized using Ensemble Learning techniques for final expression classification. The representation learnt by the proposed methodology is robust to occlusions and pose variations and offers promising accuracy. To evaluate the efficiency of the proposed model, we… More >

Hugues Lucron^1,*, Alban-Elouen Baruteau^2,3, Caroline Ovaert⁴, Ali Houeijeh⁵, Mélanie Brard¹, Patrice Guerin², François Bourlon⁶, Claire Dauphin⁷, Saskia Tuttle¹, Maha Tagorti³, Rishika Banydeen⁸, François Godart⁵

Congenital Heart Disease, Vol.17, No.4, pp. 421-436, 2022, DOI:10.32604/chd.2022.020835

Abstract Objectives: We aim to describe the efficacy, safety, and characteristics of the Amplatzer Vascular Plug (AVP) II and IV “off-label” use for multiple cardiovascular occlusions in children under 10 years. Methods: Observational retrospective multicenter (2007–2020, 6 centers) review of paediatric procedures using AVP II or IV. Results: A total of 125 children (49.6% aged ≤ 1 year, 147 lesions) underwent 136 successive procedures (success rate: 98.5%) using 169 devices (109 AVP IV, 60 AVP II). The mean device diameter was 7.7 ± 3.2 mm (4–20 mm). The median AVP size to vessel diameter ratio was 1.3 (0–2). The median age and weight… More > Graphic Abstract

May A. Al-Otaibi^1,*, Hesham Alhumyani¹, Saleh Ibrahim², Alaa M. Abbas²

Intelligent Automation & Soft Computing, Vol.34, No.3, pp. 1523-1536, 2022, DOI:10.32604/iasc.2022.026161

Abstract Image encryption has attracted a lot of interest as an important security application for protecting confidential image data against unauthorized access. An adversary with the power to manipulate cipher image data can crop part of the image out to prevent decryption or render the decrypted image useless. This is known as the occlusion attack. In this paper, we address a vulnerability to the occlusion attack identified in the medical image encryption framework recently proposed in []. We propose adding a pixel scrambling phase to the framework and show through simulation that the extended framework effectively mitigates the occlusion attack while… More >

Boxia Hu^1,2,*, Huihuang Zhao¹, Yufei Yang^1,3, Bo Zhou⁴, Alex Noel Joseph Raj⁵

Intelligent Automation & Soft Computing, Vol.26, No.6, pp. 1549-1560, 2020, DOI:10.32604/iasc.2020.011721

Abstract Face tracking is one of the most challenging research topics in computer vision. This paper proposes a framework to track multiple faces in video sequences automatically and presents an improved method based on feature fusion and neural network for multiple faces tracking in a video. The proposed method mainly includes three steps. At first, it is face detection, where an existing method is used to detect the faces in the first frame. Second, faces tracking with feature fusion. Given a video that has multiple faces, at first, all faces in the first frame are detected correctly by using an existing… More >

Alejandro R. Peirone^1,*, Alejandro E. Contreras², Carolina Carrizo², Mailén Konicoff², Raúl O. Cayre³

Congenital Heart Disease, Vol.15, No.4, pp. 267-274, 2020, DOI:10.32604/CHD.2020.013199

Abstract A 43-year-old woman with a past medical history of aortic coarctation surgically repaired at the age of 3 years using an end-to-end anastomosis, presented with 2 years complain of increasing dyspnea and fatigue with exercise associated to frequent palpitations. During extensive work-up, she was found to have a partial anomalous pulmonary venous connection (PAPVC) with “dual drainage” represented by a communication between the right pulmonary veins draining into the left atrium and the innominate vein via an anomalous vein due to a persistence of early connections between the sinus of the right pulmonary veins and the cardinal veins system in… More >

Bruno Lefort^1,2, Christophe Saint‐Etienne¹, Nathalie Soulé¹, Iris Ma¹, Fanny Dion¹, Alain Chantepie^1,2

Congenital Heart Disease, Vol.14, No.5, pp. 814-818, 2019, DOI:10.1111/chd.12812

Abstract Background and objective: Chronic total occlusion (CTO) guidewire have been recently reported as an alternative to radiofrequency for perforating atretic pulmonary valve. Since procedure failures or perforation of the right ventricle still occurred with CTO, we tried to enhance the stability, steering, and pushability of the wire using a microcatheter in order to improve the safety and efficacy of the procedure.
Methods: We performed pulmonary valve perforation with CTO guidewire and microcatheter in five consecutive newborns with pulmonary atresia with intact ventricular septum (PA‐IVS) under fluoroscopic and echocardiographic control.
Results: The valve was easily perforated at the first attempt for… More >