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10 articles for “partial occlusion”
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Face Recognition Practices for Partial Occlusion: A Survey
Abstract: Over the years, biometrics has gained unparalleled popularity in digital medium and has proven its usefulness for several applications concerned with the threats and crime or security purposes. Face recognition is a widely emerging biometric for automating the surveillance, as it has aid in strengthening the security from several types of terrorist or criminal threats. However, there are several face recognition techniques which are categorized based on its error rates …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 1, Issue 3, 2014 · pp. 4–14 Read article
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Adaptive Facial Recognition Algorithm For Partially Occlude Images
Abstract: In the present study we present an innovative approach towards countering the problem of partial occlusion in face recognition scenario. The partial occlusion can be caused by various objects such as scarfs, sunglasses etc., and its effects are confounding in the performances of the recognition rates. The framework tends to mathematically model the curvature and other essential features of the face such as micro-expression and the curves of the facial …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 2, Issue 1, 2015 · pp. 25–32 Read article
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AI-Powered Emotion Recognition in Dog
Abstract: Understanding animal emotions is important for improving veterinary care, human animal interaction, and overall pet well-being. Inspired by previous research that utilized a modified EfficientNetB5 model for emotion classification in cats and dogs, our study builds upon this foundation with a focus on real-time emotion recognition in dogs. While earlier approaches achieved high accuracy using Dense Residual and Squeeze-and-Excitation blocks, they often lacked real-time applicability and were not optimized for …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 4, Issue 1, 2026 · pp. 20–32 Read article
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Model Implementation & analysis in Face Recognition and Attendance System
Abstract: Face detection involves separating image windows into two; one containing faces (turning the background (clutter). It is difficult because although commonalities exist between faces, they can vary considerably in terms of age, skin color and facial expression. The problem is further complicated by differing lighting conditions, image qualities and geometries, as well as the possibility of partial occlusion and disguise. An ideal face detector would therefore be able to detect …
Published in Journal of Control & Instrumentation · Vol. 11, Issue 2, 2020 · pp. 34–40 Read article
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Recent Advances in Face Recognition Techniques: A Survey
Abstract: Face recognition has been a challenge for applications with real time implementation. Though significant advances have already been made in the past decade but it’s affectivity against the uncontrolled environments like partial occlusion, illumination problem and pose estimation have fallen drastically. The previous studies used various methods and soft computing tools for a learning based approach towards overcoming the enlisted challenges. Thus, in this paper we investigate the principal techniques …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 2, Issue 1, 2015 · pp. 19–24 Read article
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Efficient Object Detection Based on Local Invariant Features
Abstract: Object detection is an important task in image processing and computer vision. Binary Robust Invariant Scalable Keypoint (BRISK) local features are extracted from the object. These features are invariant to image scale, translation, rotation, illumination and partial occlusion. Object detection process begins by matching individual features of the user queried object to a database of features with different objects which are saved in advance. Cite this Article:Anand Rathod, Manoj Bagale, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 2, 2015 · pp. 1–3 Read article
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An Algorithm for Road Sign Detection and Recognition using HOG and SVM
Abstract: Recognizing traffic signs is a challenging problem; and it has captured the attention of the computer vision community for several decades. Essentially, traffic sign recognition is a multi-class classification problem that has become a real challenge for computer vision and machine learning techniques. We present a system which will detect the road sign with shape detection technique. Further recognition of road sign is carried out using Histogram Oriented Gradient and …
Published in Journal of Operating Systems Development & Trends · Vol. 2, Issue 1, 2015 · pp. 1–5 Read article
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Designing Cantilever Prosthesis: A Case Study
Abstract: A critical edentulous situation that tests the ability of a prosthodontist includes simple edentulous situations like when a maxillary lateral incisor is missing. This is not because of difficulty to restore but the greater challenge is which prosthesis to select. Conventionally, cantilever fixed partial denture has been the choice in such situations. Advances in implant have, however affected the occurrence of such cases. However, patients where other treatment options are …
Published in Research and Reviews: A Journal of Dentistry · Vol. 5, Issue 3, 2014 · pp. 5–9 Read article
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NeuroSight: AI-Powered Vision Enhancement for the Visually Impaired
Abstract: Visual impairment has long been a significant challenge, affecting a person’s ability to move independently, understand their surroundings, and perform everyday activities safely. Although considerable progress has been made in the development of assistive technologies, many existing solutions still face practical limitations. These include inconsistent performance in real-world environments, high power consumption, dependence on external computing resources, and limited ability to adapt to dynamic and rapidly changing surroundings. To address …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 2, 2025 · pp. 25–33 Read article
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A Typical Case of Asherman Syndrome (Fritsch Syndrome) due to Prolonged Retained Fragment of Cu-T in Myometrium
Abstract: Asherman or Fritsch syndrome is also known as intrauterine adhesions. It can lead to partial or complete dysfunction of the endometrium. It affects women of all races and ages equally suggesting no underlying genetic predisposition for its development. The incidence is 40% after D and C. It is mostly due to vigorous curettage of endometrium causes scarring and occlusion in the uterine cavity or it may also be due to …
Published in Research and Reviews: A Journal of Medicine · Vol. 7, Issue 1, 2017 · pp. 10–12 Read article