This paper addresses the problem of detecting and segmenting partially occluded objects of a known category. We first define a part labelling which densely covers the object. Our Layout Consistent Random Field (Layout...
详细信息
This paper presents a quantitative comparison of several multi-view stereo reconstruction algorithms. Until now, the lack of suitable calibrated multi-view image datasets with known ground truth (3D shape models) has ...
详细信息
This paper presents a new model of object classes which incorporates appearance and shape information jointly. Modeling objects appearance by distributions of visual words has recently proven successful. Here appearan...
详细信息
Given a dense set of imperfect normals obtained by photometric stereo or shape from shading, this paper presents an optimization algorithm which alternately optimizes until convergence the surface integrabilities and ...
详细信息
We describe a state-space tracking approach based on a Conditional Random Field (CRF) model, where the observation potentials are learned from data. We find functions that embed both state and observation into a space...
详细信息
We describe a vision system that monitors activity in a Site over extended periods of time. The system uses a distributed set of sensors to cover the site, and an adaptive trader detects multiple moving objects in the...
详细信息
ISBN:
(纸本)0818684976
We describe a vision system that monitors activity in a Site over extended periods of time. The system uses a distributed set of sensors to cover the site, and an adaptive trader detects multiple moving objects in the sensors. Our hypothesis is that motion tracking is sufficient to support a range of computations about site activities. I We demonstrate using the tracked motion data: to calibrate the distributed sensors, to con Struct rough Site models, to classify detected objects, to learn common patterns of activity for different object classes, and to detect unusual activities.
Flat appearance-based systems, which combine clever image representations with standard classifiers, might be the most effective way to recognize objects using current technologies. In the future, however, it seems pr...
详细信息
This paper describes a face detection technique that enables detection of extremely small faces such as 6 × 6 pixel. This is the first approach to detect very low-resolution faces in the field of face detection. ...
详细信息
This paper presents a new technique for modelling object classes (such as laces) and matching the model to novel images from the object class. The technique can be used for a variety of image analysis applications inc...
详细信息
ISBN:
(纸本)0818684976
This paper presents a new technique for modelling object classes (such as laces) and matching the model to novel images from the object class. The technique can be used for a variety of image analysis applications including face recognition, object verification and facial expression analysis. The model, called a hierarchical morphable model, is "learned" from example images (partioned into components) and their correspondences. This is an extension to the work on morphable models described in previous papers ([6] [5], [12]). Hierarchical morphable models are shown to find good matches to novel lace images and are also robust to partial occlusion.
This paper presents a generative model based approach to deal with occlusions in vision problems which can be formulated as MAP-estimation problems. The approach is generic and targets applications in diverse domains ...
详细信息
暂无评论