Increasingly, cell phones are used to browse for information while location systems assist in gathering information that is most appropriate to the user’s current location. We seek to take this one step further and actually overlay information on to the physical world using the cell phone’s camera and thereby minimize a user’s cognitive effort. This “magic lens” approach has many applications o...

This paper presents a method to estimate human body and head orientation change around yaw axis from low-resolution data. Body orientation is calculated by using Shape Context algorithm to match the outline of upper body with predefined shape templates within the ranges of 22.5 degrees. Then, motion flow vectors of SIFT features around head region are utilized to estimate the change in head ori...

This paper presents a new scheme to improve the performance of finger-vein identification systems. Firstly, a vein pattern extraction method to extract the finger-vein shape and orientation features is proposed. Secondly, to accommodate the potential local and global variations at the same time, a region-based matching scheme is investigated by employing the Scale Invariant Feature Transform (S...

This paper addresses the problem of content-based synchronization for robust watermarking. Synchronization is a process of extracting the location to embed and detect the signature so that it is crucial for the robustness of the watermarking system. In this paper, we will review representative contentbased approaches and propose a new synchronization method based on the scale invariant feature ...

This paper studies the robustness of SIFT and SURF against different image transforms (rigid body, similarity, affine and projective) by quantitatively analyzing the variations in the extent of transformations. Previous studies have been comparing the two techniques on absolute transformations rather than the specific amount of deformation caused by the transformation. The paper establishes an ...

In broadcast sports video, the scoreboard is attached at a fixed location in the video and generally the scoreboard always exists in all video frames in order to help viewers to understand the match’s progression quickly. Based on these observations, we present a new localization and recognition method for scoreboard text in sport videos in this paper. The method first matches the Scale Invaria...

In this paper we propose a probabilistic observation model for stereo vision systems which avoids explicit data association between observations and the map by marginalizing the observation likelihood over all the possible associations. We define observations as sets of landmarks composed of their 3D locations, assumed to be normally distributed, and their SIFT descriptors. Our model has been i...

A scene analysis module for service robots is presented which uses SIFT in a stereo setting, a systematic handling of uncertainties and an active perception component. The system is integrated and evaluated on the DESIRE two-arm mobile robot. Complex everyday scenes composed of various items from a 100-object database are analyzed successfully and efficiently.

In this paper, we address the problem of identifying and localizing multiple instances of highly deformable objects in real-time video data. We present an approach which uses PCA-SIFT (Scale Invariant Feature Transform) in combination with a clustered voting scheme to achieve detection and localization of multiple objects while providing robustness against rapid shape deformation, partial occlu...

In this paper, we compare local colour descriptors to grey-value descriptors. We adopt the evaluation framework of Mikolayzcyk and Schmid. We modify the framework in several ways. We decompose the evaluation framework to the level of local grey-value invariants on which common region descriptors are based. We compare the discriminative power and invariance of grey-value invariants to that of co...