Image understanding involves analyzing many different aspects of the scene. In this paper, we are concerned with how these tasks can be combined in a way that improves the performance of each of them. Inspired by Barrow and Tenenbaum, we present a flexible framework for interfac-ing scene analysis processes using intrinsic images. Each intrinsic image is a registered map describing one charac-teristic of the scene. We apply this framework to develop an integrated 3D scene understanding system with estimates of surface orientations, occlusion boundaries, objects, camera viewpoint, and relative depth. Our experiments on a set of 300 outdoor images demonstrate that these tasks reinforce each other, and we illustrate a coherent scene understand...
This dissertation presents a new approach to image interpretation which can produce hierarchical des...
A longstanding goal of computer vision is to build a system that can automatically understand a 3D s...
frequency, natural image Humans can recognize the gist of a novel image in a single glance, independ...
Image understanding involves analyzing many different aspects of the scene. In this paper, we are co...
Humans can understand scenes with abundant detail: they see layouts, surfaces, the shape of objects ...
When humans look at an image, they see not just a pattern of color and texture, but the world behind...
Existing computer vision systems continue to have difficulty performing basic tasks in complex scene...
Perceiving 3D structure and recognizing objects and their properties around us is central to our und...
Current approaches to semantic image and scene understanding typically employ rather simple object r...
In this paper, we propose a data-driven approach to leverage repositories of 3D models for scene und...
An early goal of computer vision was to build a system that could automatically understand a 3D scen...
Image understanding requires not only individually estimating elements of the visual world but also ...
In this thesis, we describe a data-driven approach to leverage repositories of 3D models for scene u...
2019-02-123D scene understanding is a fundamental and important problem in computer vision. This tas...
Scene understanding is the process, often real time, of perceiving, analysing and elaborating an int...
This dissertation presents a new approach to image interpretation which can produce hierarchical des...
A longstanding goal of computer vision is to build a system that can automatically understand a 3D s...
frequency, natural image Humans can recognize the gist of a novel image in a single glance, independ...
Image understanding involves analyzing many different aspects of the scene. In this paper, we are co...
Humans can understand scenes with abundant detail: they see layouts, surfaces, the shape of objects ...
When humans look at an image, they see not just a pattern of color and texture, but the world behind...
Existing computer vision systems continue to have difficulty performing basic tasks in complex scene...
Perceiving 3D structure and recognizing objects and their properties around us is central to our und...
Current approaches to semantic image and scene understanding typically employ rather simple object r...
In this paper, we propose a data-driven approach to leverage repositories of 3D models for scene und...
An early goal of computer vision was to build a system that could automatically understand a 3D scen...
Image understanding requires not only individually estimating elements of the visual world but also ...
In this thesis, we describe a data-driven approach to leverage repositories of 3D models for scene u...
2019-02-123D scene understanding is a fundamental and important problem in computer vision. This tas...
Scene understanding is the process, often real time, of perceiving, analysing and elaborating an int...
This dissertation presents a new approach to image interpretation which can produce hierarchical des...
A longstanding goal of computer vision is to build a system that can automatically understand a 3D s...
frequency, natural image Humans can recognize the gist of a novel image in a single glance, independ...