Using many cameras as one

By Robert Pless. 2003

330 citations recorded by the source corpus.

Subfields: Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, 3D Vision & Pose

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Graphics and Computer-Aided Design

In Computer Vision and Pattern Recognition

In 3D Vision & Pose

Citations in the corpus

WoodScape: A Multi-Task, Multi-Camera Fisheye Dataset for Autonomous Driving (2019, background): “Pless [42] did pioneering work in deriving a framework for modeling a network of cameras as one, this approach is useful for geometric vision algorithms like visual odometry.”
Pairwise Decomposition of Image Sequences for Active Multi-view Recognition (2016, background): “If multiple views are available at testing, images can be combined and treated as a single, larger image [31], an approach which can also be addressed in two stages, by processing the individual images ﬁrst to reduce the search space [5].”
Efficient multi-view object recognition and full pose estimation (2010, background): “The second, which we term full multi-view, combines multiple images by considering a network of cameras as one generalized camera [7, 8] which produces a single large aggregate image (Fig.”
Rotation Averaging (2013, background): “In analyzing such imagery, it is possible to consider several cameras as a single " generalized " camera (Pless 2003; Baker et al. 2001).”
Privacy Preserving Image Queries for Camera Localization (2019, neutral): “We therefore lift the 3D points ˜ X of the query to randomly oriented 3D lines in Pl¨ucker coordinates [47] as ˜ L = (cid:2) ˜ v ˜ w T ∈ P 5 with ˜ w = ˜ X × ˜ v , leading to the new geometric constraints 0 = ( ˜ v × ˜ w + β ˜ v ) − P ¯ X , which we can exploited for camera pose estimation.”
Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions (2018, background): “Knowing the relative poses between the query images, we can model them as a generalized camera [52].”
CosyPose: Consistent multi-view multi-object 6D pose estimation (2020, background): “Prior work using local invariant features includes [15,16,24,25] and involves some form of feature matching to establish correspondences across views to aggregate information from multiple viewpoints.”
Privacy Preserving Image-Based Localization (2019, methodology): “After Grossberg and Nayar [28] formulated the theory of generalized cameras, Pless [51] derived generalized epipolar constraints from the the Plücker representation of 3D lines.”