---
_id: '18412'
abstract:
- lang: eng
  text: SIFT-like local feature descriptors are ubiquitously employed in computer
    vision applications such as content-based retrieval, video analysis, copy detection,
    object recognition, photo tourism, and 3D reconstruction. Feature descriptors
    can be designed to be invariant to certain classes of photometric and geometric
    transformations, in particular, affine and intensity scale transformations. However,
    real transformations that an image can undergo can only be approximately modeled
    in this way, and thus most descriptors are only approximately invariant in practice.
    Second, descriptors are usually high dimensional (e.g., SIFT is represented as
    a 128--dimensional vector). In large-scale retrieval and matching problems, this
    can pose challenges in storing and retrieving descriptor data. We map the descriptor
    vectors into the Hamming space in which the Hamming metric is used to compare
    the resulting representations. This way, we reduce the size of the descriptors
    by representing them as short binary strings and learn descriptor invariance from
    examples. We show extensive experimental validation, demonstrating the advantage
    of the proposed approach.
article_processing_charge: No
article_type: original
author:
- first_name: C.
  full_name: Strecha, C.
  last_name: Strecha
- first_name: Alexander
  full_name: Bronstein, Alexander
  id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6
  last_name: Bronstein
  orcid: 0000-0001-9699-8730
- first_name: M. M.
  full_name: Bronstein, M. M.
  last_name: Bronstein
- first_name: P.
  full_name: Fua, P.
  last_name: Fua
citation:
  ama: 'Strecha C, Bronstein AM, Bronstein MM, Fua P. LDAHash: Improved matching with
    smaller descriptors. <i>IEEE Transactions on Pattern Analysis and Machine Intelligence</i>.
    2012;34(1):66-78. doi:<a href="https://doi.org/10.1109/tpami.2011.103">10.1109/tpami.2011.103</a>'
  apa: 'Strecha, C., Bronstein, A. M., Bronstein, M. M., &#38; Fua, P. (2012). LDAHash:
    Improved matching with smaller descriptors. <i>IEEE Transactions on Pattern Analysis
    and Machine Intelligence</i>. Institute of Electrical and Electronics Engineers.
    <a href="https://doi.org/10.1109/tpami.2011.103">https://doi.org/10.1109/tpami.2011.103</a>'
  chicago: 'Strecha, C., Alex M. Bronstein, M. M. Bronstein, and P. Fua. “LDAHash:
    Improved Matching with Smaller Descriptors.” <i>IEEE Transactions on Pattern Analysis
    and Machine Intelligence</i>. Institute of Electrical and Electronics Engineers,
    2012. <a href="https://doi.org/10.1109/tpami.2011.103">https://doi.org/10.1109/tpami.2011.103</a>.'
  ieee: 'C. Strecha, A. M. Bronstein, M. M. Bronstein, and P. Fua, “LDAHash: Improved
    matching with smaller descriptors,” <i>IEEE Transactions on Pattern Analysis and
    Machine Intelligence</i>, vol. 34, no. 1. Institute of Electrical and Electronics
    Engineers, pp. 66–78, 2012.'
  ista: 'Strecha C, Bronstein AM, Bronstein MM, Fua P. 2012. LDAHash: Improved matching
    with smaller descriptors. IEEE Transactions on Pattern Analysis and Machine Intelligence.
    34(1), 66–78.'
  mla: 'Strecha, C., et al. “LDAHash: Improved Matching with Smaller Descriptors.”
    <i>IEEE Transactions on Pattern Analysis and Machine Intelligence</i>, vol. 34,
    no. 1, Institute of Electrical and Electronics Engineers, 2012, pp. 66–78, doi:<a
    href="https://doi.org/10.1109/tpami.2011.103">10.1109/tpami.2011.103</a>.'
  short: C. Strecha, A.M. Bronstein, M.M. Bronstein, P. Fua, IEEE Transactions on
    Pattern Analysis and Machine Intelligence 34 (2012) 66–78.
date_created: 2024-10-15T11:20:54Z
date_published: 2012-01-01T00:00:00Z
date_updated: 2024-11-12T08:34:48Z
day: '01'
doi: 10.1109/tpami.2011.103
extern: '1'
external_id:
  pmid:
  - '21576750 '
intvolume: '        34'
issue: '1'
language:
- iso: eng
month: '01'
oa_version: None
page: 66-78
pmid: 1
publication: IEEE Transactions on Pattern Analysis and Machine Intelligence
publication_identifier:
  eissn:
  - 2160-9292
  issn:
  - 0162-8828
publication_status: published
publisher: Institute of Electrical and Electronics Engineers
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'LDAHash: Improved matching with smaller descriptors'
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 34
year: '2012'
...