Monday, January 26, 2015

January 26, 2015, at 01:17 PMerika

Yesterday: (General) Been busy with getting tutorials up and running for CPSC 453 and after assistance from a colleague, have been developing object segmentation from random points. At this stage, we have successful segmentation of: double pendulum, five polyhedra on table, two spheres on table and engine parts. I can also visualize the respective parts separately once they've been generated.

Competed and submitted application for Graduate Scholarship. Finally met with supervisors last week, and discussed possible improvement directions. While our discussion suggested exploring data structures for improving limitations to vertices (eg. using sparse matrix representations), some time hang-ups (engine takes 30 minutes, 49 spheres on table takes a large chunk of a day and is erroneous) might be achieved by better algorithm use. Future discussions are anticipated to explore effective use of history for fast segmentation.

(Friday) Replaced a number of for-loops with (faster) inline matlab commands, and stepped through why there might be issues with object segmentation for scenes with a high number of objects.

Today: Predominantly preparing for tutorials today. Will continue exploring issues with ineffective object segmentation. Tomorrow will start generating scenes with obscured vertices, and be able to read in such scenes. Read more...

Roadblocks: Handling high numbers of objects in a scene - ie. ensuring correct segmentation.

Where Does this Fit In: TA responsibilities ensure motivation within the field, as well as financial stability for project development. Getting object segmentation for known correspondences is one of the key stages for final development. Ensuring fast implementations, and recognizing areas for speed-up guides future directions when fewer correspondences are available and temporarily inconsistent in their visibility, non-feature points must be incorporated, and noisy information is present.

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