Experimental Investigation of the Performance of a Specific Object Recognition Method with the Bloomier Filter

LanguageJapanese
TypeProceedings of Japanese Conferences
AuthorsKatsufumi Inoue, Koichi Kise
TitleExperimental Investigation of the Performance of a Specific Object Recognition Method with the Bloomier Filter
JournalIEICE Technical Report
Presentation numberPRMU2009-109
Pagespp.115-120
ReviewedNot reviewed
DateNovember 2009
Research fieldsObject Recognition, Pattern recognition
KeyInoue2009_IEICEPRMU_Experimental (id=1125)

Abstract

Specific object recongnition based on local feature vectors requires a huge amount of memory to store all feature vectors. To solve this problem, we propose a memory reduction method with the Bloomier filter and show the its efficiency method for memory reduction in the previous paper. However, it is still unclear how efficient the proposed method is in comparison with conventional methods. In this report, we compare the efficiency of the proposed method with that of the method which is based on ``bag-of-features" model. From the experiment with 10,000 planar objects, the proposed method allows us 1/7 required memory to obtain the same recognition rate compared with the conventional method. Additionally, in this report, we analyze experimentally the relationship between the recognition criteria with the proposed method and recognition accuracy.

Files

Export this publication

Format definition
Edits apply immediately and stay in effect until you pick a style again or reset. First line is the default; add lines like "book: …" to override per type.
How to write the definition

Insert a field with braces like {authors}. A part enclosed in [ ... ] is omitted entirely when any field inside it is empty. Available fields:

{authors}{authors_and}{authors_ja}{authors_ja_tight}{authors_en}{authors_en_and}{authors_tight}{first_author}{title}{title_ja}{title_en}{journal}{journal_ja}{journal_en}{book_title}{volume}{number}{series}{presen_id}{pages}{pp}{num_pages}{year}{month}{month_en}{month_short}{ym}{date}{date_ja}{date_en}{publisher}{address}{location}{review}{review_ja}{review_en}{reviewed_mark}{presen_type}{type}{type_label}{doi}{url}{key}{awards}

← Back to list