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teaching:gsoc2017 [2017/02/08 08:10] – [RoboSherlock -- Framework for Cognitive Perception] lisca | teaching:gsoc2017 [2017/02/08 08:10] – [Proposed Topics] lisca | ||
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In the following, we list our proposals for the Google Summer of Code topics that contribute to the aforementioned | In the following, we list our proposals for the Google Summer of Code topics that contribute to the aforementioned | ||
open-source projects. | open-source projects. | ||
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+ | ==== Topic 1: Multi-modal Cluttered Scene Analysis in Knowledge Intensive Scenarios ==== | ||
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+ | {{ : | ||
+ | |||
+ | **Main Objective: | ||
+ | edge detection). | ||
+ | |||
+ | **Task Difficulty: | ||
+ | | ||
+ | **Requirements: | ||
+ | |||
+ | **Expected Results:** Currently the RoboSherlock framework lacks good perception algorithms that can generate object-hypotheses in challenging scenarios(clutter and/or occlusion). The expected results are several software components based on recent advances in cluttered scene analysis that are able to successfully recognized objects in the scenarios mentioned in the objectives, or a subset of these. | ||
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+ | Contact: [[team/ | ||
Prof. Dr. hc. Michael Beetz PhD
Head of Institute
Contact via
Andrea Cowley
assistant to Prof. Beetz
ai-office@cs.uni-bremen.de
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