Defocus can be modeled as a diffusion process and represented mathematically using the
heat equation, where image blur corresponds to the diffusion of heat. This analogy can be …

Computer vision has traditionally focused on extracting structure, such as depth, from
images acquired using thin-lens or pinhole optics. The development of computational …

We present a new approach to the matting problem which splits the task into two steps:
interactive trimap extraction followed by trimap-based alpha matting. By doing so we gain …

In this paper we investigate the challenging problem of recovering the depth layers in a
scene from a single defocused observation. The problem is definitely solvable if there are …

This paper proposes a novel statistical approach to formulate image sharpness metric using
eigenvalues. Statistical information of image content is represented effectively using a set of …

This paper proposes a recognizable-image selection algorithm for fingerprint-verification
systems that use a camera embedded in a mobile device. A recognizable image is defined …

Image-based modeling is the process of automatically acquiring geometric object and scene
models from photographs or video clips. This dissertation addresses three core problems in …

A critical dimension measurement system for TFT-LCD patterns has been implemented in
this study. To improve the measurement accuracy, an imaging auto-focus algorithm, fast …

One of the fundamental objectives of computer vision is to reconstruct a three-dimensional
(3D) structure of objects from two-dimensional (2D) images. The basic idea of image focus is …

This paper presents a depth estimation method which converts two-dimensional images into
three-dimensional data. Based on two-dimensional wavelet analysis of Lipschitz regularity …