Parts of recognition.

By Donald D. Hoffman, W. Richards. 1984

Subfields: Computer Vision and Pattern Recognition, Cognitive Science & Psychology

Citations in the corpus

• Toward a Biased Competition Account of Object-Based Segregation and Attention (2000, unknown): “cues, such as minima of curvature (i.e., places in which a contour points into an object) that allow objects to be segregated into parts ( Hoffman and Richards, 1984; Hoffman and Singh, 1997).”
• Shape Similarity Measure Based on Correspondence of Visual Parts (2000, unknown): “Hoffman and Richards [ 3 ] provide strong evidence that contours are psychologically segmented at negative curvature minima.”
• Unsupervised co-segmentation for 3D shapes using iterative multi-label optimization (2013, unknown): “As one of the best known rules, the minimal rule [20] inducing part boundaries along negative curvature minima, is typically realized via curvature measurements.”
• Part-Based Representations of Visual Shape and Implications for Visual Cognition (2001, unknown): “example, Hoffman & Richards (1984) have argued that mechanisms which find parts are more”
• Mesh Segmentation - A Comparative Study (2006, unknown): “1. Type of segmentation: It is common [26] to divide segmentation algorithms into algorithms that segment into meaningful components (i.e., following the minima rule [ 11 ]) and those that segment into disk-like components, or more generally, into purely geometric shapes.”
• Technical Section: Discrete Laplace-Beltrami operators for shape analysis and segmentation (2009, unknown): “our attention on lines of concave discontinuity of the tange nt plane [ 26 ].”