Estimation of baseline of single camera stereo vision based on an inspiration from SFF

C. R. Srinivasan, R. Senthilnathan, P. Subhasree, R. Sivaramakrishnan, P. Karthikeyan, R. Srividya

Research output: Contribution to journalArticlepeer-review


Computation Stereo Vision is a widely researched technique in the field of computer vision for scene reconstruction. One of the main issues to be addressed in stereo vision is the trade-off that needs to be achieved between accuracy and resolution. A wide-baseline offers better resolution in depth estimated, contrarily a narrow baseline though offers good accuracy but suffers from poor depth resolution. The proposed work in this paper presents a variable baseline stereo vision system which permits a knowledge and control of the depth resolution for a range of geometries that the system can handle. This is achieved using an algorithm inspired from Shape From Focus (SFF) technique in computer vision. In the current research work a new SFF-inspired algorithm is developed which utilizes images acquired with low focal length lenses in place of a telecentric lens. Based on the sparse and coarse depth map obtained an approach for determining the baseline of a single camera based stereo vision system for any desired depth resolution is presented in this paper.

Original languageEnglish
Pages (from-to)127-141
Number of pages15
JournalInternational Journal of Control Theory and Applications
Issue number39
Publication statusPublished - 2016

All Science Journal Classification (ASJC) codes

  • Computer Science(all)


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