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Browsing Fakülteler / Faculties by Author "0000-0002-5218-8848"

Now showing items 1-5 of 5

Accurate Analysis of the Spatial Pattern of Reflected Light and Surface Orientations Based on Color Illumination

Kotan, Muhammed; Öz, Cemil; Bozkurt, Mehmet Recep (2022-11-09)

3D recovery approaches require a variety of clues to obtain shape information. The shape from shading (SFS) method uses shading variations in images to estimate depth maps. Although shading contains detailed information, ...
Automatic Detection and Classification of Defective Areas on Metal Parts by Using Adaptive Fusion of Faster R-CNN and Shape From Shading

Selamet, Feyza; Cakar, Serap; Kotan, Muhammed (2022-11-21)

Computer vision and deep learning approaches have an important role in industrial inspection systems. Computer vision technology is essential for fast, defect-free control of products in the production line. The importance ...
Duygu Analizi ve Dijital Dönüşüm Üzerine Etkileri

Kotan, Muhammed (Gazi Kitapevi, 2022-12)
Dynamic Modeling With Integrated Concept Drift Detection for Predicting Real-Time Energy Consumption of Industrial Machines

Kahraman, Abdulgani; Kantardzic, Mehmet; Kotan, Muhammed (2022-09-28)

Industrial machinery is a significant energy consumer, and its CO2 emissions have increased dramatically in recent years. Therefore, energy efficiency is becoming crucial for businesses, governments, as well as the planet. ...
A Linearization–Based Hybrid Approach for 3D Reconstruction of Objects in a Single Image

Kotan, Muhammed; Öz, Cemil; Kahraman, Abdulgani (2021-09-27)

The shape-from-shading (SFS) technique uses the pattern of shading in images in order to obtain 3D view information. By virtue of their ease of implementation, linearization-based SFS algorithms are frequently used in the ...