Given an accurate 3-D shape model of a scene, the motion parameters of a moving camera can be recovered with high accuracy using model-based motion estimation techniques. Shape errors, however, reduce the accuracy of this kind of motion estimation considerably. In this paper, model-based motion estimation is combined with simultaneous object shape refinement. A deformable 3-D shape model of low...

Motion estimation has been shown to help significantly in the compression of video sequences. However, since most motion estimation algorithms require a large amount of computation, it is undesirable to use them in power constrained applications, such as battery-operated wireless video encoders. This paper describes a new compression algorithm, termed networkdriven motion estimation (NDME), whi...

Noises, in the form of false motion vectors, cannot be avoided while capturing block motion vectors using blockbased motion estimation techniques. Similar noises are further introduced when the technique of global motion compensation is applied to obtain “true” object motion from video sequences, where both the camera and object motions are present. We observe that the performance of the mean a...

Video compression technology is the research field of video compression coding attention. It mainly includes the elimination of temporal redundancy and spatial redundancy elimination algorithm, this paper mainly focuses on the study of motion estimation and compensation algorithm to eliminate the temporal redundancy. The starting point of this article is how to improve the precision and the sub...

In this paper, we propose a novel fast and low-complexity Motion Estimation (ME) algorithm for Ultra High Definition (UHD) High Efficiency Video Coding (HEVC). Motion estimation occupies 77~81% of the amount of computation in HEVC. After all, the main key of video codec implementation is to find a fast and low-complexity motion estimation algorithm and architecture. We analyze the previous moti...

We propose to use a state-of-the-art visual odometry technique for the purpose of head pose estimation. We demonstrate that with small adaptation this algorithm allows to achieve more accurate head pose estimation from an RGBD sensor than all the methods published to date. We also propose a novel methodology to automatically assess the accuracy of a tracking algorithm without the need to manual...

A well-known theoretical result for motion estimation using generalized camera model is that 17 corresponding image rays can be used to solve linearly for the motion of a generalized camera. However, this paper shows that for many common configurations of the generalized camera models (e.g., multi-camera rig, catadioptric camera etc.), such a simple 17-point algorithm does not exist, due to som...