Papers
6
Total Citations
200
H-Index
5
About
Patrick Stelmaszyk is a computer vision and robotics researcher whose work has made significant contributions to the fields of image flow analysis, 3D structure reconstruction, and autonomous mobile robot navigation. His most influential research centers on the tracking of edge-lines in image sequences — a technique he pioneered for measuring optical flow by modeling edge segments through parameter vectors encoding position, orientation, and length. This foundational work, which has accumulated over 77 citations, laid the groundwork for robust visual motion estimation in dynamic environments. Stelmaszyk's parallel contributions to 3D structure measurement through edge-line tracking — with combined citations exceeding 100 — demonstrated how sequential image data could be integrated to reconstruct spatial environments with precision. His research extended naturally into mobile robotics, where he explored active vision control and fixation-point strategies, enabling robots to navigate complex environments using monocular vision and local map construction. His 2002 work on visual attention control for mobile robots showcased the practical application of his theoretical foundations. With nearly 200 total citations across his body of work, Stelmaszyk's research remains a valuable reference for students and practitioners working at the intersection of computer vision, 3D perception, and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Measuring Image Flow By Tracking Edge-lines77 citations · 2005
- 2Measurement and integration of 3-D structures by tracking edge lines69 citations · 1992
- 3Measurement and integration of 3-D structures by tracking edge lines31 citations · 1990
- 4Acquiring 3D structure by controlling visual attention of a mobile robot12 citations · 2002
- 5Mobile robot navigation by an active control of the vision system6 citations · 1991
- 6Local Processing as a Cue for Decreasing 3-D Structure Computation5 citations · 1992