World's Best Scientists 2026 revealed!
Salih Burak Gokturk

Salih Burak Gokturk

D-Index & Metrics

Computer Science

D-Index
37
Citations
8767
World Ranking
10516
National Ranking
4403

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Pattern recognition

The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Object, Image and Position. His Artificial intelligence research incorporates themes from Web page and Computer graphics. His Computer vision research incorporates elements of Information retrieval and Pattern recognition.

Salih Burak Gokturk has included themes like Pixel and Histogram in his Pattern recognition study. His Object research includes elements of Segmentation and Compression. His studies deal with areas such as Object detection, Computer-aided diagnosis and Support vector machine as well as Image processing.

His most cited work include:

  • Gesture recognition system using depth perceptive sensors (761 citations)
  • System and method for enabling image recognition and searching of images (240 citations)
  • Subject segmentation and tracking using 3D sensing technology for video compression in multimedia applications (230 citations)

What are the main themes of his work throughout his whole career to date?

Artificial intelligence, Computer vision, Mathematics, Object and Pattern recognition are his primary areas of study. Salih Burak Gokturk undertakes interdisciplinary study in the fields of Artificial intelligence and Virtual colonoscopy through his works. His work on Tracking and Structured light as part of general Computer vision study is frequently linked to Position and Interface, bridging the gap between disciplines.

His Object study combines topics in areas such as Computer graphics and Imaging technology. In his study, Monocular and Data-driven is strongly linked to Face, which falls under the umbrella field of Pattern recognition. His work carried out in the field of Pattern recognition brings together such families of science as Image processing and False positive paradox.

He most often published in these fields:

  • Artificial intelligence (83.33%)
  • Computer vision (75.00%)
  • Mathematics (27.78%)

What were the highlights of his more recent work (between 2008-2012)?

  • Information retrieval (11.11%)
  • Order (11.11%)
  • Clothing (5.56%)

In recent papers he was focusing on the following fields of study:

His primary areas of investigation include Information retrieval, Order, Clothing, Image and Artificial intelligence. Salih Burak Gokturk has researched Information retrieval in several fields, including Similarity and Nearest neighbor search. His Order research spans across into fields like Engineering, Set, Web browser and World Wide Web.

His study with Image involves better knowledge in Computer vision. In his works, Salih Burak Gokturk undertakes multidisciplinary study on Artificial intelligence and Geography.

Between 2008 and 2012, his most popular works were:

  • Method and system to segment depth images and to detect shapes in three-dimensionally acquired data (131 citations)
  • Computer-Implemented Method for Performing Similarity Searches (124 citations)
  • Recommendation engine for clothing and apparel (26 citations)

Best Publications

  • Gesture recognition system using depth perceptive sensors

    Salih Burak Gokturk;Carlo Tomasi;Fahri Surucu;Abbas Rafii

  • A Time-Of-Flight Depth Sensor - System Description, Issues and Solutions

    S.B. Gokturk;H. Yalcin;C. Bamji

  • System and method for enabling the use of captured images through recognition

    Salih Burak Gokturk;Dragomir Anguelov;Vincent Vanhoucke;Kuang-chih Lee

  • System and method for enabling search and retrieval from image files based on recognized information

    Salih Burak Gokturk;Dragomir Anguelov;Vincent Vanhoucke;Kuang-chih Lee

  • System and method for recognizing objects from images and identifying relevancy amongst images and information

    Salih Burak Gokturk;Dragomir Anguelov;Vincent Vanchoucke;Kuang-chih Lee

  • System and method for enabling image recognition and searching of images

    Salih Burak Gokturk;Baris Sumengen;Diem Vu;Navneet Dalal

  • Subject segmentation and tracking using 3D sensing technology for video compression in multimedia applications

    Salih Burak Gokturk;Abbas Rafii

  • Image recognition system for use in analysing images of objects and applications thereof

    Salih Burak Gokturk;Baris Sumengen;Diem Vu;Navneet Dalal

  • System and method for search portions of objects in images and features thereof

    Salih Burak Gokturk;Baris Sumengen;Diem Vu;Navneet Dalal

  • System and method for providing objectified image renderings using recognition information from images

    Salih Burak Gokturk;Dragomir Anguelov;Vincent O. Vanhoucke;Kuang-chih Lee

  • Optical methods for remotely measuring objects

    Salih Burak Gokturk;Carlo Tomasi;Fahri Sürücü

  • Method and apparatus for recognizing objects

    Salih Gokturk;Abbas Rafii;James Spare

  • Methods and system to quantify depth data accuracy in three-dimensional sensors using single frame capture

    Cyrus Bamji;Ilhami Torunoglu;Salih Burak Gokturk

  • A statistical 3-D pattern processing method for computer-aided detection of polyps in CT colonography

    S.B. Gokturk;C. Tomasi;B. Acar;C.F. Beaulieu

  • System and method for enabling image searching using manual enrichment, classification, and/or segmentation

    Salih Burak Gokturk;Baris Sumengen;Diem Vu;Navneet Dalal

  • Method and apparatus for approximating depth of an object's placement onto a monitored region with applications to virtual interface devices

    Carlo Tomasi;Salih Burak Gokturk

  • Computer-Implemented Method for Performing Similarity Searches

    Vincent O. Vanhoucke;Salih Burak Gokturk;Dragomir Anguelov;Kuang-chih Lee

  • Method and system to segment depth images and to detect shapes in three-dimensionally acquired data

    Abbas Rafii;Salih Burak Gokturk

  • System and method for use of images with recognition analysis

    Salih Burak Gokturk;Munjal Shah;Azhar Khan

  • System and method for using image analysis and search in E-commerce

    Salih Burak Gokturk;Baris Sumengen;Diem Vu;Navneet Dalal

Frequent Co-Authors

Carlo Tomasi
Carlo Tomasi Duke University
Vincent Vanhoucke
Vincent Vanhoucke Google (United States)
Sandy Napel
Sandy Napel Stanford University
Lorenzo Torresani
Lorenzo Torresani Facebook (United States)
Andrew Miller
Andrew Miller University of Illinois at Urbana-Champaign
Bernd Girod
Bernd Girod Stanford University
Radek Grzeszczuk
Radek Grzeszczuk Microsoft (United States)
James Davis
James Davis University of California, Santa Cruz

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science in the USA opens up a range of flexible online degree options. If you’re concerned about past academic performance, there are best colleges for low gpa that offer accessible admission without sacrificing quality education.

For those looking to accelerate their journey, the fastest computer science degree programs let you complete your studies quickly and start your career sooner. These programs are ideal for career changers and motivated learners seeking efficiency.

Computer science skills are valuable across diverse fields. You might also explore interdisciplinary careers, such as jobs with elementary education and environmental science degree, leveraging tech expertise for education or sustainability roles.

Additionally, those interested in the intersection of technology and the environment can consider environmental engineering degrees online. These programs train students to address real-world environmental challenges while harnessing computing and engineering skills.

Best Scientists Citing Salih Burak Gokturk