M. Stohr
Papers
1
Total Citations
17
H-Index
1
About
M. Stohr’s research centers on computer vision, specifically the recognition and pose estimation of three-dimensional objects from two-dimensional images. Their major contribution is a pioneering multiple-view framework that uses sets of prototypical object views combined with spatially tolerant contour representations. This approach elegantly extends existing 2D robot-vision systems into 3D recognition, making the process both straightforward and computationally tractable. By demonstrating that objects can be reliably identified and their spatial orientation determined from single views, Stohr’s work laid important groundwork for practical robotic vision applications. Their most-cited paper, “Single view recognition and pose estimation of 3D objects using sets of prototypical views and spatially tolerant contour representations” (1996), has garnered 17 citations, reflecting its influence in the field. This work is notable for its clarity in solving a complex problem—bridging the gap between 2D image data and 3D object understanding—without requiring exhaustive 3D models. For students and researchers exploring object recognition, Stohr’s approach remains a clear, foundational example of how to achieve robust, view-based 3D perception.
Research Focus
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Top Papers
- 1