Mobile 3D Visual Search based on Local Stereo Image Features
Independent thesis Advanced level (degree of Master (Two Years)), 80 credits / 120 HE creditsStudent thesis
Many recent applications using local image features focus on 2D image recognition. Such applications can not distinguish between real objects and photos of objects. In this project, we present a 3D object recognition method using stereo images. Using the 3D information of the objects obtained from stereo images, objects with similar image description but different 3D shapes can be distinguished, such as real objects and photos of objects. Besides, the feature matching performance is improved compared with the method using only local image features. Knowing the fact that local image features may consume higher bitrates than transmitting the compressed images itself, we evaluate the performance of a recently proposed low-bitrate local image feature descriptor CHoG in 3D object reconstruction and recognition, and propose a difference compression method based on the quantized CHoG descriptor, which further reduces bitrates.
Place, publisher, year, edition, pages
2012. , 44 p.
EES Examensarbete / Master Thesis, XR-EE-SIP 2012:004
Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:kth:diva-102603OAI: oai:DiVA.org:kth-102603DiVA: diva2:555602
2012-08-24, 10:30 (English)
Flierl, Markus, Univ lektor