Sökning: "2D image projections"

Visar resultat 1 - 5 av 8 avhandlingar innehållade orden 2D image projections.

1. 1. Functional and Modular As=C and P=C Group Motifs

   Författare :Daniel Morales Salazar; Andreas Orthaber; Jose Goicoechea; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; materials; physical chemistry; arsaalkenes; phosphaalkenes; DBU; fluorene; photochemistry; arsenic; phosphorus; carbon; hydrogen; sulfur; gold; copper; organic materials; organic electronics; molecular electronics; polymers; transition metal complexes; molecular materials; small molecule; hydrogen bonding; electrochemistry; cyclic voltammetry; chronoamperometry; electropolymerization; artificial intelligence; potentiodynamic; modularity; functionality; XPS; DFT; π-conjugation effects; 2D-NMR; disilenes; siliconoids; group motifs; functional group; emergence; reactivity; reactive systems; organometallic complexes; π-delocalization; low-coordinate; main group chemistry; heavy p-block elements; pnictogens; copper I complex; gold I complex; photosensitizer; XRD; spectroelectrochemistry; electrochromism; smart materials; synthesis; phosphaalkene ligands; imine ligands; hysteresis-like criteria; representative settings; optimal criteria; transient covalence; interactive image; conformer; isomer; ligand scrambling; nanomaterials; stimuli-responsive; optical properties; ligand design; molecular design; X-ray crystallography; emission; self-assembly; As=C; Si=Si; P=C; multiple bond; equilibrium; heteroalkenes; alkenes; reversibility; Raman; ATR-FTIR; ERDA; Kemi; Chemistry;

   Sammanfattning : This work focuses on the design, synthesis, characterization, and application projections of low-coordinated heavy pnictogen-containing (described by the generic letter E, hence E=C) phosphaalkenes (P=C) and arsaalkenes (As=C), with emphasis on the E=C group motifs. The work aims to understand their functional and modular character, reactivity, and potential applications by stabilizing, isolating, and characterizing these species in low-coordination environments. LÄS MER

3. 2. Range Camera Imaging : From Human Body Measurements to Very Large 3D Points Scenes Visualization

   Författare :Gaël Neuez; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; 3D visualization; EASYTEX; anatomical landmarks; body scanner; range camera; 2D image projections; structured light; octree data structure;

   Sammanfattning : The use of camera range imaging for the purpose of 3-dimensional representation and non-contact measures is widely used in industry, medicine, computer-aided design and other areas. Different range imaging methods can be applied, such as stereo, laser sheet of light, and structured light. LÄS MER

4. 3. SPECT Imaging using Pinhole Collimation : System Design and Simulation Studies for Pre-Clinical and Clinical Imaging

   Författare :Mikael Peterson; Lund Medicinsk strålningsfysik; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Pinhole SPECT tomography; Nuclear medicine imaging; Monte Carlo-based image reconstruction;

   Sammanfattning : The focus of this dissertation is the use of pinhole collimation in Nuclear Medicine. A pinhole is a single aperture in an opaque material that is placed between the detector and source of interest, and photons must pass through the hole to reach the detector. The choices of pinhole parameters, e.g. LÄS MER

5. 4. Direct Fourier methods in 3D-reconstruction from cone-beam data

   Författare :Caroline Axelsson; Michel Defrise; Linköpings universitet; []
   Nyckelord :;

   Sammanfattning : The problem of 3D-reconstruction is encountered in both medical and industrial applications of X-ray tomography. It would seem natural to recover volume data by just repeating 2D-reconstructions slice-by-slice. LÄS MER

7. 5. Low Rank Matrix Factorization and Relative Pose Problems in Computer Vision

   Författare :Fangyuan Jiang; Matematik LTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Geometric Computer Vision; Low-rank Matrix Factorization; Relative Pose;

   Sammanfattning : This thesis is focused on geometric computer vision problems. The first part of the thesis aims at solving one fundamental problem, namely low-rank matrix factorization. We provide several novel insights into the problem. In brief, we characterize, generate, parametrize and solve the minimal problems associated with low-rank matrix factorization. LÄS MER