Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 7 of 7 for “"depth from defocus"”.
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Three dimensional moving pictures with a single imager and microfluidic lens
… movie acquisition and corresponding depth data is commonly generated from multiple cameras and multiple views. This technology has high cost and large size which are limitations for medical devices, military surveillance and current consumer products such as small camcorders and cell …
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Estimation de l'échelle absolue par vision passive monofocale et application à la mesure 3D de néoplasies en imagerie coloscopique
… passive 3D reconstruction techniques (Structure-from-Motion, Shape from-Shading) adapted to monocular vision suffer from scale ambiguity. Because the processing of image acquisition implies the loss of the depth information, there is an ambiguous relationship between the depth of a scene and the …
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Estimation of Defocus Blur in Virtual Environments Comparing Graph Cuts and Convolutional Neural Network
Depth estimation is one of the most important problems in computer vision. It has attracted a lot of attention because it has applications in many areas, such as robotics, 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 …
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Modeling and Analysis of Optical Blur for Everyday Photography
… The blur appearance depends on the scene's depth, wavelength, as well as the camera. The inference of such information --- optical calibration, image deblurring, and depth estimation -- is of great interest to computer vision. Existing approaches make impractical assumptions about the camera …
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Smart photonics in imaging and sensing
… of prior-art ECVFL based sensors. An active Depth from Defocus (DFD) system is proposed next, which uses coherent conditioned illumination to provide a sharpness retaining projection pattern over multiple target planes to aid the DFD computation procedure. Furthermore, the camera of the …
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Automatic 2D-to-3D conversion of single low depth-of-field images
… of 3D stereoscopic disparity image pairs from single 2D low depth-of-field (LDOF) images. Initially a depth map is produced through the assignment of depth to every delineated object and region in the image. Subsequently the left and right disparity images are produced through depth …
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Point Spread Function Engineering for Scene Recovery
… engineering 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 …