Texture-less Object Detection - PhD Thesis Proposal

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00235522" target="_blank" >RIV/68407700:21230/15:00235522 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Texture-less Object Detection - PhD Thesis Proposal
Original language description
Learning, detecting and accurately localizing texture-less objects is a common requirement for applications in both personal and industrial robotics. Despite their ubiquitous presence, texture-less objects present significant challenges to contemporary methods for visual object detection and localization. In our work we aim at simultaneous detection of multiple texture-less objects with sub-linear complexity in the number of known objects, real time performance, robustness to occlusion and clutter, lowfalse detection rate, and accurate object localization. So far, we have proposed two methods. One method works with both color and depth features. It adopts the sliding window paradigm with an efficient cascade-style evaluation of each window location. The method can run in real-time, achieves the state of the art performance, and its practical relevance was demonstrated in a real robotic application. In the other proposed method, which works only with image edges, we focused on efficien
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Number of pages
40
Place of publication
Praha
Publisher/client name
Center for Machine Perception, K13133 FEE Czech Technical University
Version
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