C.C. Bastidas
Papers
1
Total Citations
31
H-Index
1
About
Dr. C.C. Bastidas has made significant contributions to computer vision, particularly in the domain of 3D object segmentation and modeling. Their research focuses on the innovative use of superquadrics—parametric shapes that can represent a wide variety of complex forms—as fundamental building blocks for interpreting range images. In their highly influential 2008 work, "Superquadric Segmentation in Range Images via Fusion of Region and Boundary Information," which has garnered 31 citations, Dr. Bastidas introduced a pioneering two-stage segmentation approach. This method elegantly fuses region-based and boundary-based cues to decompose cluttered scenes into individual objects, each modeled by a superquadric. By demonstrating that superquadrics could serve as robust modeling elements for multiple object segmentation, this work advanced the state of the art in 3D scene understanding. Dr. Bastidas’s research has provided a powerful framework for tasks ranging from robotic perception to shape analysis, bridging the gap between low-level image features and high-level geometric interpretation. Their contributions continue to inspire researchers seeking efficient and expressive representations for 3D data.
Research Focus
Key Achievements
Top Papers
- 1