Sorry, you need to enable JavaScript to visit this website.

Immersive Optical-See-Through Augmented Reality. Augmented Reality has been getting ready for the last 20 years, and is finally becoming real, powered by progress in enabling technologies such as graphics, vision, sensors, and displays. In this talk I’ll provide a personal retrospective on my journey, working on all those enablers, getting ready for the coming AR revolution. At Meta, we are working on immersive optical-see-through AR headset, as well as the full software stack. We’ll discuss the differences of optical vs.

Categories:
36 Views

In this paper, we propose a multi-granularity feature interaction and relation reasoning network (MFIRRN) which can recover a detail-rich 3D face and perform more accurate dense alignment in an unconstrained environment. Traditional 3DMM-based methods directly regress parameters, resulting in the lack of fine-grained details in the reconstruction 3D face. To this end, we use different branches to capture discriminative features at different granularities, especially local features at medium and fine granularities.

Categories:
2 Views

In this paper, we propose a multi-granularity feature interaction and relation reasoning network (MFIRRN) which can recover a detail-rich 3D face and perform more accurate dense alignment in an unconstrained environment. Traditional 3DMM-based methods directly regress parameters, resulting in the lack of fine-grained details in the reconstruction 3D face. To this end, we use different branches to capture discriminative features at different granularities, especially local features at medium and fine granularities.

Categories:
1 Views

This work introduces new method using the singular value decomposition (SVD) to recognise human activities from skeleton motion sequences. The primary focus was on different activity durations, inaccurate placement of the joints and loss of information about position of the joints. For that we needed to develop a robust model. At first, the pose features are created for description of skeleton pose per frame, that is created by directional vectors to alljoint pairwise combinations without repetition.

Categories:
37 Views

Priors play an important role of regularizers in image deblurring algorithms. Image priors are frequently studied and many forms were proposed in the literature. Blur priors are considered less important and the most common forms are simple uniform distributions with domain constraints. We propose a more informative blur prior based on the notion of atomic norm which favors blurs composed of line segments and is suitable for motion blur. The prior is formulated as a linear program that can be inserted into any optimization task.

Categories:
24 Views

Texture is an indispensable property to develop many vision
based autonomous applications. Compared to colour, feature
dimension in a local texture descriptor is quite large as dense
texture features need to represent the distribution of pixel intensities
in the neighbourhood of each pixel. Large dimensional
features require additional time for further processing
that often restrict real-time applications. In this paper, a robust
local texture descriptor is enhanced by reducing feature

Categories:
25 Views

Pages