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Showing 1 to 5 of 5 for “"Defocus blur"”.

  1. A low-cost defocus blur module for video rate quantified 3D imaging

    Existing three-dimensional surface imaging systems are expensive, difficult to use, time consuming, and do not always provide the best accuracy or resolution. By using an offset aperture on a rotating disc, the 3D Monocular Imaging System provides a fast, portable, accurate, and cheap method of 3D …

    mit Repository record for A low-cost defocus blur module for video rate quantified 3D imaging (opens in a new tab)

  2. Estimation of Defocus Blur in Virtual Environments Comparing Graph Cuts and Convolutional Neural Network

    … VR and AR, self-driving cars etc. Using the defocus blur of a camera lens is one of the methods of depth estimation. In this thesis, we have researched this technique in virtual environments. Virtual datasets have been created for this purpose. In this research, we have applied graph cuts and …

    iupui Repository record for Estimation of Defocus Blur in Virtual Environments Comparing Graph Cuts and Convolutional Neural Network (opens in a new tab)

  3. Depth From Defocused Motion

    Motion in depth and/or zooming causes defocus blur. This work presents a solution to the problem of using defocus blur and optical flow information to compute depth at points that defocus when they move. We first formulate a novel algorithm which recovers defocus blur and affine parameters …

    ucf

  4. Point Spread Function Engineering for Scene Recovery

    … techniques to recover image details from blurry images. Image blur is a problem commonly seen in photography due to a number of reasons, including defocus, lens aberration, diffraction, atmospheric turbulence, object motion, and etc. Image blur is often formulated as a convolution of the …

    columbia-diss Repository record for Point Spread Function Engineering for Scene Recovery (opens in a new tab)

  5. Quantification of the Depth-of-Field in a Self-Aligned Focusing Schlieren System

    … of the SAFS system changes gradually with defocus, depends strongly on direction, and is influenced by diffraction from the Ronchi ruling in addition to defocus blur. Comparison with conventional depth-of-field definitions shows that no single geometric limit fully describes the measured …

    embry-riddle Repository record for Quantification of the Depth-of-Field in a Self-Aligned Focusing Schlieren System (opens in a new tab)