Real-time tracking of single and multiple objects from depth-colour imagery Using 3D signed distance functions
We describe a novel probabilistic framework for real-time tracking of multiple objects from combined depthcolour imagery. Object shape is represented implicitly using 3D signed distance functions. Probabilistic generative models based on these functions are developed to account for the observed RGB-...
Egile Nagusiak: | Ren, C, Prisacariu, V, Kähler, O, Reid, I, Murray, D |
---|---|
Formatua: | Journal article |
Argitaratua: |
Springer
2017
|
Antzeko izenburuak
-
Real-time 3D tracking and reconstruction on mobile phones
nork: Prisacariu, VA, et al.
Argitaratua: (2014) -
Object Tracking Using Maximum Colour Distance under Illumination Change
nork: Inteck Whoang, et al.
Argitaratua: (2012-11-01) -
Hierarchical voxel block hashing for efficient integration of depth images
nork: Kahler, O, et al.
Argitaratua: (2015) -
Real-time large-scale dense 3D reconstruction with loop closure
nork: Kähler, O, et al.
Argitaratua: (2016) -
Real - time multiple object tracking /
nork: 403467 Yeoh, Phaik Yong, et al.
Argitaratua: (2003)