Sciweavers

ACCV
2006
Springer
14 years 5 months ago
OK-Quantization Theory and Its Relationship to Sampling Theorem
Yuji Tanaka, Takayuki Fujiwara, Hiroyasu Koshimizu...
ACCV
2006
Springer
14 years 5 months ago
Heuristic Pre-clustering Relevance Feedback in Region-Based Image Retrieval
Relevance feedback (RF) and region-based image retrieval (RBIR) are two widely used methods to enhance the performance of contentbased image retrieval (CBIR) systems. In this paper...
Wan-Ting Su, Wen-Sheng Chu, James Jenn-Jier Lien
ACCV
2006
Springer
14 years 5 months ago
How to Compute the Pose of an Object Without a Direct View?
We consider the task of computing the pose of an object relative to a camera, for the case where the camera has no direct view of the object. This problem was encountered in work o...
Peter F. Sturm, Thomas Bonfort
ACCV
2006
Springer
14 years 5 months ago
Template-Based Hand Pose Recognition Using Multiple Cues
This paper presents a practical method for hypothesizing hand locations and subsequently recognizing a discrete number of poses in image sequences. In a typical setting the user is...
Björn Stenger
ACCV
2006
Springer
14 years 5 months ago
Statistical Shape Models Using Elastic-String Representations
Abstract. To develop statistical models for shapes, we utilize an elastic string representation where curves (denoting shapes) can bend and locally stretch (or compress) to optimal...
Anuj Srivastava, Aastha Jain, Shantanu H. Joshi, D...
ACCV
2006
Springer
14 years 5 months ago
A Bottom up Algebraic Approach to Motion Segmentation
We present a bottom up algebraic approach for segmenting multiple 2D motion models directly from the partial derivatives of an image sequence. Our method fits a polynomial called ...
Dheeraj Singaraju, René Vidal
ACCV
2006
Springer
14 years 5 months ago
Face Recognition Under Varying Illumination Based on MAP Estimation Incorporating Correlation Between Surface Points
In this paper, we propose a new method for face recognition under varying illumination conditions using a single input image. Our method is based on a statistical shape-from-shadin...
Mihoko Shimano, Kenji Nagao, Takahiro Okabe, Imari...
ACCV
2006
Springer
14 years 5 months ago
Inducing Semantic Segmentation from an Example
Segmenting an image into semantically meaningful parts is a fundamental and challenging task in computer vision. Automatic methods are able to segment an image into coherent region...
Yaar Schnitman, Yaron Caspi, Daniel Cohen-Or, Dani...
ACCV
2006
Springer
14 years 5 months ago
Smooth Foreground-Background Segmentation for Video Processing
Abstract. We propose an efficient way to account for spatial smoothness in foreground-background segmentation of video sequences. Most statistical background modeling techniques re...
Konrad Schindler, Hanzi Wang
ACCV
2006
Springer
14 years 5 months ago
Matching Gait Image Sequences in the Frequency Domain for Tracking People at a Distance
This paper describes a new method to track people walking by matching their gait image sequences in the frequency domain. When a person walks at a distance from a camera, that pers...
Ryusuke Sagawa, Yasushi Makihara, Tomio Echigo, Ya...