Blar i NTNU Open på forfatter "Ahmad, Bilal"

Viser treff 1-9 av 9

    • 3D reconstruction of gastrointestinal regions using shape-from-focus 

      Ahmad, Bilal; Farup, Ivar; Floor, Pål Anders (Peer reviewed; Journal article, 2023)
      3D shape reconstruction from images is an active topic in computer vision. Shape-from-Focus (SFF) is an important approach which requires image stack in a focus controlled manner to infer the 3D shape. In this article, 3D ...

    • 3D Reconstruction of Gastrointestinal Regions Using Single-View Methods 

      Ahmad, Bilal; Floor, Pål Anders; Farup, Ivar; Hovde, Øistein (Peer reviewed; Journal article, 2023)
      Capsule endoscopy is about to become an alternative to traditional colonoscopy. One uses a wireless camera to visualize the gastrointestinal (GI) tract. A 3D model based on image sequences obtained from wireless capsule ...

    • 3D Reconstruction of GI Regions from Single Images 

      Ahmad, Bilal; Floor, Pål Anders; Farup, Ivar; Kresović, Milan (Peer reviewed; Journal article, 2022)
      3D shape reconstruction from images is one of the problem under investigation in the field of computer vision. Shape-from-shading (SfS) is an important approach which requires the reflectance properties of surface and light ...

    • 3D Shape Reconstruction from Capsule Endoscopy Video 

      Ahmad, Bilal (Doctoral theses at NTNU;2024:125, Doctoral thesis, 2024)
      Wireless Capsule Endoscopy (WCE) has revolutionized the field of gastroenterology by providing an alternative to traditional endoscopy, as it is less invasive and requires no sedation. It is a patient-friendly procedure ...

    • Anisotropic Diffusion for Depth Estimation in Shape from Focus Systems 

      Ahmad, Bilal; Farup, Ivar; Floor, Pål Anders (Chapter, 2024)
      Shape from focus is a monocular method that uses the camera’s focus as the primary indicator for depth estimation. The initial depth map is usually improved by penalizing the L2 regularizer as a smoothness constraint, which ...

    • A Comparison of Regularization Methods for Near-Light-Source Perspective Shape-from-Shading 

      Ahmad, Bilal; Floor, Pål Anders; Farup, Ivar (Peer reviewed; Journal article, 2022)
      3D shape reconstruction from images is an active topic in computer vision. Shape-from-Shading is an important approach which requires the surface properties and light source position to infer the 3D shape. A L2 regularizer ...

    • Focus Measurement in Color Space for Shape from Focus Systems 

      Mutahira, Husna; Ahmad, Bilal; Muhammad, Mannan Saeed; Shin, Dong Ryeol (Peer reviewed; Journal article, 2021)
      Shape from Focus (SFF) has been studied extensively in computer vision for 3D shape and depth recovery. The first stage in SFF methods is to compute the focus value of every pixel by converting the colored images into gray ...

    • Image enhancement dataset for evaluation of image quality metrics 

      Kadyrova, Altynay; Pedersen, Marius; Ahmad, Bilal; Mandal, Dipendra Jee; Nguyen, Mathieu; Zimmermann, Pauline (Peer reviewed; Journal article, 2022)
      Image enhancement is important in different application areas such as medical imaging, computer graphics, and military applications. In this paper, we introduce a dataset with enhanced images. The images have been enhanced ...

    • Single-Image-Based 3D Reconstruction of Endoscopic Images 

      Ahmad, Bilal; Floor, Pål Anders; Farup, Ivar; Andersen, Casper Find (Journal article; Peer reviewed, 2024)
      A wireless capsule endoscope (WCE) is a medical device designed for the examination of the human gastrointestinal (GI) tract. Three-dimensional models based on WCE images can assist in diagnostics by effectively detecting ...