<p>In this thesis, studies on three problems
in imaging systems will be discussed.</p>
<p>The first problem deals with re-rendering
segments of online indoor room images with preferred textures through websites
to try new decoration ideas. Previous methods need too much manual positioning
and alignment. In the thesis, a novel approach is presented to automatically
achieve a natural outcome with respect to indoor room geometry layout.</p>
<p>For the second problem, the laser
electrophotographic system is eagerly looking for a digital halftoning
algorithm that can deal with unequal printing resolution, since most halftoning
algorithms are focused on equal resolution. In the thesis, a novel monochrome
halftoning algorithm is presented to render continuous tone images with limited
numbers of tone levels for laser printers with unequal printing resolution.</p>
<p>For the third problem, a novel face set
recognition method is presented. Face set recognition is important for face
video analysis and face clustering in multiple imaging systems. And it is very
challenging considering the variation of image sharpness, face directions and illuminations
for different frames, as well as the number and the order of images in the face
set. To tackle the problem, a novel convolutional neural network system is
presented to generate a fixed-dimensional compact feature representation for
the face set. The system collects information from all the images in the set
while having emphasis on more frontal and sharper face images, and it is
regardless of the number and the order of images. The generated feature
representations allow direct, immediate similarity computation for face sets, thus
can be directly used for recognition. The experiment result shows that our
method outperforms other state of-the-art methods on the public test dataset.</p>
| Identifer | oai:union.ndltd.org:purdue.edu/oai:figshare.com:article/8049596 |
| Date | 25 June 2020 |
| Creators | Tongyang Liu (5929991) |
| Source Sets | Purdue University |
| Detected Language | English |
| Type | Text, Thesis |
| Rights | CC BY 4.0 |
| Relation | https://figshare.com/articles/thesis/Three_problems_in_imaging_systems_texture_re-rendering_in_online_decoration_design_a_novel_monochrome_halftoning_algorithm_and_face_set_recognition_with_convolutional_neural_networks/8049596 |
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