RECOVERING INTRINSIC SCENE CHARACTERISTICS FROM IMAGES

By H. Barrow, Josh Tenenbaum. 1978

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Citations in the corpus

Learning to Reconstruct Shapes from Unseen Classes (2018, background): “The origin of intrinsic image estimation dates back to the early years of computer vision [Barrow and Tenenbaum, 1978].”
Understanding Deep Features with Computer-Generated Imagery (2015, methodology): “Finally, our multiple factor study is related to intrinsic image decomposition [4].”
Recovering intrinsic images from a single image (2005, background): “These two images are types of a representation known as intrinsic images [1] because each image contains one intrinsic characteristic of the scene.”
Single-image shadow detection and removal using paired regions (2011, background): “For these reasons, shadow detection has long been considered a crucial component of scene interpretation (e.g., [17, 2]).”
Neural Face Editing with Intrinsic Image Disentangling (2017, background): “Barrow and Tanenbaum [2] proposed the concept of decomposing images into their physical intrinsic components such as surface normals, surface shading, etc. Barron and Mallik [1] extended this decomposition assuming a Lambertian rendering model with low-frequency illumination and made use of extensiv”
Rendering synthetic objects into legacy photographs (2011, methodology): “We use an automatic decomposition of the image into albedo, direct illumination and indirect illumination terms (intrinsic images [Barrow and Tenenbaum 1978]).”
Ground truth dataset and baseline evaluations for intrinsic image algorithms (2009, background): “Barrow and Tenenbaum [1] proposed representing distinct scene properties as separate “intrinsic” images.”
Shape, albedo, and illumination from a single image of an unknown object (2012, background): “The problem we address was first posed to the computer vision community as the “intrinsic images” problem [3], though it had been studied earlier in other fields as the problem of lightness constancy [10].”
Deriving intrinsic images from image sequences (2001, background): “Barrow and Tenenbaum argued that such a midlevel description , depsite not making explicit all the physical causes of image features, can be extremely useful for supporting a range of visual inferences.”
Self-Supervised Intrinsic Image Decomposition (2017, methodology): “Intrinsic images were introduced by Barrow and Tenenbaum as useful mid-level scene descriptors [Barrow and Tenenbaum, 1978].”
Building a database of 3D scenes from user annotations (2009, result): “We also draw inspiration from early work in line-drawing analysis [4, 3, 16, 32], which can be seen as a precursor to work c”
Analyzing Semantic Segmentation Using Hybrid Human-Machine CRFs (2013, background): “work of Barrow in the seventies [3], is that ambiguities in visual information can only be resolved when many visual processes are working collaboratively.”
Flash photography enhancement via intrinsic relighting (2004, methodology): “These methods can be interpreted in terms of intrinsic images [20], [21].”
The status of the minimum principle in the theoretical analysis of visual perception. (1985, background): “Barrow & Tenenbaum , 1978 , p .”