M
Muhammad Sajid
Researcher at Mirpur University of Science and Technology
Publications - 37
Citations - 831
Muhammad Sajid is an academic researcher from Mirpur University of Science and Technology. The author has contributed to research in topics: Facial recognition system & Convolutional neural network. The author has an hindex of 12, co-authored 37 publications receiving 417 citations. Previous affiliations of Muhammad Sajid include Capital University & Mohammad Ali Jinnah University.
Papers
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Journal ArticleDOI
Content-Based Image Retrieval and Feature Extraction: A Comprehensive Review
Afshan Latif,Aqsa Rasheed,Umer Sajid,Jameel Ahmed,Nouman Ali,Naeem Iqbal Ratyal,Bushra Zafar,Bushra Zafar,Saadat Hanif Dar,Muhammad Sajid,Tehmina Khalil +10 more
TL;DR: A comprehensive review of the recent development in the area of CBIR and image representation is presented and the main aspects of various image retrieval and image representations models from low-level feature extraction to recent semantic deep-learning approaches are analyzed.
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Fabric Defect Detection Using Computer Vision Techniques: A Comprehensive Review
Aqsa Rasheed,Bushra Zafar,Amina Rasheed,Nouman Ali,Muhammad Sajid,Saadat Hanif Dar,Usman Habib,Tehmina Shehryar,Muhammad Tariq Mahmood +8 more
TL;DR: A detailed study about various computer vision-based approaches with application in textile industry to detect fabric defects and the drawbacks and limitations associated with the existing published research are discussed.
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A Novel Discriminating and Relative Global Spatial Image Representation with Applications in CBIR
Bushra Zafar,Rehan Ashraf,Nouman Ali,Muhammad Kashif Iqbal,Muhammad Sajid,Saadat Hanif Dar,Naeem Iqbal Ratyal +6 more
TL;DR: A novel approach to encoding the relative spatial information for histogram-based representation of the BoVW model is introduced by computing the global geometric relationship between pairs of identical visual words with respect to the centroid of an image.
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Data Augmentation-Assisted Makeup-Invariant Face Recognition
Muhammad Sajid,Nouman Ali,Saadat Hanif Dar,Naeem Iqbal Ratyal,Asif Raza Butt,Bushra Zafar,Tamoor Shafique,Mirza Jabbar Aziz Baig,Imran Riaz,Shahbaz Baig +9 more
TL;DR: A deep convolutional neural network (dCNN) using augmented face dataset to extract discriminative features from face images containing synthetic makeup variations to compete with the state of the art.
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A Hybrid Geometric Spatial Image Representation for scene classification
Nouman Ali,Bushra Zafar,Faisal Riaz,Saadat Hanif Dar,Naeem Iqbal Ratyal,Khalid Bashir Bajwa,Muhammad Kashif Iqbal,Muhammad Sajid +7 more
TL;DR: A Hybrid Geometric Spatial Image Representation (HGSIR) is explored that is based on the combination of histograms computed over the rectangular, triangular and circular regions of the image that outperforms the state-of-art research in terms of classification accuracy.