Using Perceptual Organization to Extract 3-D Structures

By R. Mohan, Ramkant Nevatia. 1989

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. João Carreira
2. Jitendra Malik
3. Liang-Chieh Chen
4. Wanli Ouyang
5. Andrew Zisserman
6. Abhinav Kumar Gupta
7. Ross B. Girshick
8. Andrea Vedaldi

Citations in the corpus

• Lifting Object Detection Datasets into 3D (2015, background): “Instead, their model searches the training set for patches similar to those in the test image, then transfers the associated depth information.”
• SEMANTIC SEGMENTATION OF AERIAL IMAGES IN URBAN AREAS WITH CLASS-SPECIFIC HIGHER-ORDER CLIQUES (2015, methodology): “Building knowledge in 2D has typically been used in a rule-based manner, by assembling edges or image segments to building regions with Gestalt-like grouping rules, e.g. (Fua and Hanson, 1987, Mohan and Nevatia, 1989).”
• Markov Random Field Modeling in Image Analysis (2001, background): “1992), image segmentation (Silverman and Cooper 1988; Li 1990a), perceptual grouping (Lowe 1985; Mohan and Nevatia 1989; Herault and Horaud 1993), interpretation of line drawings (Leclerc and Fischler 1992), object matching and recognition (Fischler and Elschlager 1973; Davis 1979; Shapiro and Haral”