Projection, Recognition, and Pictorial Diversity
Bibliographic Data
| ID | 20142701 |
|---|---|
| Authors | Andrew Inkpin (0000-0003-0126-9979, The University of Melbourne, corresponding author) |
| Year | 2016 |
| Volume | 82 |
| Issue | 1 |
| Pages | 32-55 |
| Publication date | 2016-02-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Theoria (JOURNAL) |
| Journal identifiers | ISSN: 0040-5825 • E-ISSN: 1755-2567 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/theo.12074 |
| OpenAlex | W1498877894 |
| Language | EN |
| Citations received | 1 |
| References cited | 16 |
This article focuses on the difficulty for a general theory of depiction of providing a notion of pictorial content that accommodates the full diversity of picture types. The article begins by introducing two basic models of pictorial content using paradigmatic positions that maximize the ability of the respective models to deal with pictorial diversity. K ulvicki's O n I mages is interpreted as a generalized projection‐based model which proposes a scene‐centred notion of pictorial content. By contrast, L opes's aspect‐recognition theory, in U nderstanding P ictures , is taken to exemplify a recognition‐based model of pictorial content. It is then considered how applicable these two notions of pictorial content are to a spectrum of different picture types (e.g., photography, painting, caricature), highlighting differences between mechanically produced and “freehand” pictures. It is shown that while the projection‐based and recognition‐based models are each required for some picture types, neither model can be applied over the whole spectrum of diverse picture types. This, it is argued, has the far‐reaching consequence that neither the projection model nor the recognition model, nor any unitary combination of the two, can provide the basis for a theory of depiction applying to all pictures
Algorithm · Art · Computer vision · Content (measure theory) · Depiction · Diversity (politics) · Painting · Pattern recognition (psychology) · Photography · Projection (relational algebra) · Sociology · Unitary state · Visual arts · Aesthetic Perception and Analysis · Artificial Intelligence · Computer Science · Mathematics · Photography and Visual Culture · Visual Culture and Art Theory
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,33 |
| Citation span | 2023 - 2023 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |