Search Results - "Orhei, Ciprian"
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End-To-End Computer Vision Framework: An Open-Source Platform for Research and Education
Published in Sensors (Basel, Switzerland) (26-05-2021)“…Computer Vision is a cross-research field with the main purpose of understanding the surrounding environment as closely as possible to human perception. The…”
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An analysis of extended and dilated filters in sharpening algorithms
Published in IEEE access (01-01-2023)“…Digital imaging is omnipresent nowadays due to the expansion of the mobile device industry and its use cases. However, the diversity of sensors and hardware…”
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3
A Review of Deep Learning Advancements in Road Analysis for Autonomous Driving
Published in Applied sciences (01-06-2024)“…The rapid advancement of autonomous vehicle technology has brought into focus the critical need for enhanced road safety systems, particularly in the areas of…”
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Dilated Filters for Edge-Detection Algorithms
Published in Applied sciences (01-11-2021)“…Edges are a basic and fundamental feature in image processing that is used directly or indirectly in huge number of applications. Inspired by the expansion of…”
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User Evaluation of a Multi-Platform Digital Storytelling Concept for Cultural Heritage
Published in Mathematics (Basel) (01-11-2021)“…Digital storytelling platforms have proven to be a great way of bringing cultural heritage closer to people. What lacks is a deeper understanding of the user…”
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TMBuD: A dataset for urban scene building detection
Published 27-10-2021“…Building recognition and 3D reconstruction of human made structures in urban scenarios has become an interesting and actual topic in the image processing…”
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7
Image sharpening using dilated filters
Published in 2022 IEEE 16th International Symposium on Applied Computational Intelligence and Informatics (SACI) (25-05-2022)“…Digital photography is growing in the mobile device industry. Due to considerable variety of sensors used for images capture and hardware limitations the…”
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Conference Proceeding -
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Constrained Adaptive Nonlinear Unsharp Masking
Published in 2024 47th International Conference on Telecommunications and Signal Processing (TSP) (10-07-2024)“…Image enhancement is one of the most important topics in the domain of computer vision, particularly due to the expansion of mobile digital imaging. Digital…”
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Conference Proceeding -
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Mapping the environment at range: implications for camera calibration
Published in 2022 IEEE 28th International Symposium for Design and Technology in Electronic Packaging (SIITME) (26-10-2022)“…In the last period Advanced Driving Assistance System are growing exponential and offering new features to drivers in the direction of achieving Autonomous…”
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Conference Proceeding -
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Edge map response of dilated and reconstructed classical filters
Published in 2020 22nd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC) (01-09-2020)“…Edge detection is a basic technique of fundamental feature detection in image processing domain. Dilation of edge filters kernels has proven to bring benefits…”
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Conference Proceeding -
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Intersection detection based on mono-camera sensor
Published in 2022 45th International Conference on Telecommunications and Signal Processing (TSP) (13-07-2022)“…In the last decades Advanced Driving Assistance System are rapidly growing and offering new features to drivers in the direction of understanding and modeling…”
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Conference Proceeding -
12
Dilated filters for edge detection algorithms
Published 14-06-2021“…Edges are a basic and fundamental feature in image processing, that are used directly or indirectly in huge amount of applications. Inspired by the expansion…”
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Journal Article -
13
A Novel Edge Detection Operator for Identifying Buildings in Augmented Reality Applications
Published 02-06-2021“…Augmented Reality is an environment-enhancing technology, widely applied in many domains, such as tourism and culture. One of the major challenges in this…”
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Urban landmark detection using A-KAZE features and vector of aggregated local descriptors
Published in 2022 International Symposium on Electronics and Telecommunications (ISETC) (10-11-2022)“…Urban landmarks detection systems represent a research topic that is continuously pursued in the Computer Vision domain. These systems play an important role…”
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Conference Proceeding -
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End-to-End Computer Vision Framework
Published in 2020 International Symposium on Electronics and Telecommunications (ISETC) (05-11-2020)“…Computer Vision is a cross research field with the main purpose of understanding the surrounding environment as closely as possible to human perception. In…”
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Conference Proceeding -
16
Real-time line matching based speed bump detection algorithm
Published in 2021 IEEE 27th International Symposium for Design and Technology in Electronic Packaging (SIITME) (27-10-2021)“…Active safety is one of the main technologies in the modern automotive industry. Active safety is achieved with advanced sensors that employ Computer Vision…”
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Conference Proceeding -
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CBIR for urban building using A-KAZE features
Published in 2021 IEEE 27th International Symposium for Design and Technology in Electronic Packaging (SIITME) (27-10-2021)“…Content based image retrieval systems are an active research topic in the Computer Vision domain. These systems are important when dealing with urban…”
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Conference Proceeding -
18
An automated threshold Edge Drawing algorithm
Published in 2021 44th International Conference on Telecommunications and Signal Processing (TSP) (26-07-2021)“…Parameter choosing in classical edge detection algorithms can be a costly and complex task. Choosing the correct parameters can improve considerably the…”
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Conference Proceeding -
19
An automated threshold Edge Drawing algorithm
Published 11-10-2021“…Parameter choosing in classical edge detection algorithms can be a costly and complex task. Choosing the correct parameters can improve considerably the…”
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Journal Article -
20
Custom Extended Sobel Filters
Published 30-09-2019“…Edge detection is widely and fundamental feature used in various algorithms in computer vision to determine the edges in an image. The edge detection algorithm…”
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