Chess video search engine(13th June 2021) |
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Youtube has a quite good search functionality based on video titles, descriptions and maybe even subtitles but it doesn't go into actual video contents and provide accurate timestamps for users' searches. An youtuber "Agadmator" has a very popular channel (1.1 million subscribers, 454 million video views at the time of writing) which showcases major chess games from past and recent tournaments and online games. Here a search engine is introduced which analyzes the videos, recognizes chess pieces and builds a database of all of the positions on the board ready to be searched. It keeps track of the exact timestamps of the videos in which the queried position occurs so it is able to provide direct links to relevant videos.
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English hyphenation algorithm in PHP(10th July 2013) |
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A good presentation about hyphenation in HTML documents can be seen here, but it is client side (JavaScript) oriented. Basically you shouldn't use justified text unless it is hyphenated, because long words will cause huge spaces between words to make the line stretch out the whole width of the element. I found a few PHP scripts such as phpHyphenator 1.5, but typically they weren't implemented as a single stand-alone PHP class. Since the underlying algorithm is fairly simple, I decided to write it from scratch.
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Visualizing laser scanned geography(7th July 2013) |
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During the summer of 2012 when I was mainly working on my Master's Thesis, I also had a look at National Land Survey of Finland's open data download service. There I downloaded a point cloud dataset which had typically 4 - 5 measured points / square meter. This means that to visualize a region of 2.5 × 2 km, I had to work with a point cloud consisting of 5 × 2500 × 2000 → 25 million points. I chose to concentrate on my campus area, because I know it well and it has many interesting landmarks. For example the iconic main building can be seen in Figure 1.
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Fingerprint matching algorithm(25th June 2013) |
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For my Bachelor of Science degree I developed a novel fingerprint matching algorithm, which ended up beating many alternative methods which were developed by research groups around the world. The used dataset the same which was used for FVC 2000 (Fingerprint Verification Competition).
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